2,143 SQL Jobs in India

This is not an on-call support role. As our Integration Support Engineer, you will own Oddr's support function end to end, with full control over system changes and fixes and the independence to redesign processes and architecture once leadership approves your ideas. You will wear many hats: leader, integration engineer, automation builder, and customer partner. You will use Claude and other LLM tools to make support more agentic and automate repetitive work across Azure, DevOps, SQL, and cloud integrations.

The core responsibilities for the job include the following:

Own and Lead:

• Own the support board and be accountable for every support outcome.
• Decide on, build, test, and deploy fixes and changes to production.
• Propose process and architecture improvements; implement them independently once approved.
• Coordinate with engineering, product, and implementation to resolve issues.

Automate and Optimize:

• Build AI agents and workflows (Claude, other LLMs) for triage, log analysis, root-cause investigation, and customer replies.
• Replace repetitive manual work with scripts, scheduled jobs, and AI-assisted workflows.
• Turn team knowledge into reusable playbooks, prompts, and documentation.

Integrations, Cloud, and Data:

• Troubleshoot, build, and improve integrations using iPaaS, Azure services, REST/SOAP APIs, SFTP, JSON, and XML.
• Ship changes through Azure DevOps and SDLC practices.
• Write and optimize SQL for investigation, validation, and reconciliation.
• Shape cloud architecture for reliability, observability, and scale.

Customers:

• Work directly with customers as their technical partner, communicating clearly and proactively.
• Solve both technical and business problems, learning new systems as needed.
• Oddr: AI-powered billing, invoicing, and revenue intelligence for law firms.

Requirements:

• 5+ years in integration engineering or support, including leading or solely owning a support function.
• Proven ownership: driving changes independently and seeing improvements through.
• Hands-on use of LLM tools (Claude, ChatGPT, Copilot, or similar) to automate work.
• Scripting for automation (Python, PowerShell, or similar).
• Strong SQL and database troubleshooting skills.
• Experience with Azure (functions, logic apps, monitoring) and Azure DevOps or similar CI/CD.
• Solid grasp of cloud architecture, integration patterns, REST/SOAP APIs, and at least one iPaaS (e. g., Boomi).
• Curious, comfortable wearing multiple hats, and confident working directly with customers.
• Bachelor's degree in computer science, IT, or a related field.
• Able to work 6:00 PM - 5:00 AM IST.

Nice to Have:

• Experience building AI agents (MCP, tool-calling, LLM APIs).
• Azure, Boomi, or other cloud/iPaaS certifications.
• Experience with Intapp Integration Builder or legal-industry systems.

What Great Looks Like:

• You own the role: every issue has a clear owner, priority, and next step.
• Each quarter, more support work is handled by automation and AI.
• Root causes get fixed, not patched, and you deliver approved process and architecture improvements.
• Customers and internal teams see you as the go-to owner of support.

Non - negotible skills

1 . L2 Application support - they are expecting people to have pure application support experience rather than who is having more production support those they will reject the profile

2 . SQL - Who is having handson experience in SQL , Writing complex queries , Troubleshooting , Identifying bugs etc...

3 . Customer / client interactions - People who are having client and customer communication especially if it is with international clients with good communication

Senior Data Engineer Databricks and Snowflake 

Exp- 7+ years

Rate: 30 LPA

Location: Remote

Time zone: ET (US Eastern time)

Shift: Night Shift

Type: Fulltime

Main tech requirements: Databricks, Snowflake, Spark, AWS, RDS, Oracle, MSSQL, domain of histopathology

Responsibilities:

Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners).

Create and optimize data flows for structured and unstructured data using Python (PySpark), R, SQL, Databricks, Snowflake, and other modern engineering tools.

Develop and maintain specific data repositories, implementing enterprise-level data models, and creating new models as needed.

Enable AI/ML readiness by ensuring data is well-structured, versioned, traceable, and semantically aligned with enterprise data standards.

What we expect:

Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.

6+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment.

Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift) along with Spark and dbt.

Proficiency in RDS

Expertise in ETL and DWH.

Experience with NoSQL and graph databases.

English language proficiency of B2+

Strong analytical, problem-solving, and stakeholder-management skills, with the ability to translate discussions into actionable requirements.

Ability to drive multiple exciting projects simultaneously with strong organizational skills and adaptability.

Nice to have:

Experience working with the histopathology domain

Experience with regulated or standards-driven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards.

Familiarity with high dimensional data (e.g., imaging, sensor data, etc).

Experience with principles connecting to or feeding MLOps and model deployment workflows.

Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems.

Exposure to knowledge graph or ontology-driven architectures.

Lead Data Security Solution Engineer

Exp: 10+ years

Rate: 35 LPA

Location: Remote

Time zone: ET (US Eastern time)

Shift: Night Shift

Type: Fulltime​

Responsibilities:

1. Technical and Database Assessment

Review Data In-Licensing requirements, workflow maps, data flows, data lineage, entitlement rules, and dependency records.

Assess relational database platforms, schemas, connectivity methods, interfaces, drivers, service identities, query patterns, and downstream consumption.

Identify where licensed data is stored, transformed, replicated, extracted, cached, archived, or backed up.

Assess current database security capabilities and identify gaps, constraints, risks, and prerequisites.

2. Data-Level Authentication and Identity Integration

Assess authentication for named users, service identities, workloads, and analytical tools accessing databases.

Evaluate OAuth/OIDC or other identity- and token-based authentication directly to the database where supported by the selected technology.

Design integration between enterprise identities, security groups, project groups, database principals, roles, and policy engines.

Reduce reliance on shared or long-lived credentials where feasible and define secure credential or token handling for unavoidable exceptions.

Align with tools currently available and identify gaps if any,

3. Fine-Grained Authorization and Data Firewalling

Design database-level controls that restrict access to explicitly authorized users, groups, services, projects, or licensing populations.

Design and implement row-level security, column-level security, dynamic masking, views, policy-based filtering, or equivalent controls as appropriate.

Define isolation patterns for different licensed datasets and agreements while preserving permitted platform use for other users.

Ensure controls are consistently enforced as close to the data layer as technically feasible and are not solely dependent on application logic.

4. Auditing, Monitoring, and Traceability

Design database auditing to capture who accessed data, what was accessed, when access occurred, and which identity or service was used.

Define logging for queries, exports, failed access attempts, permission changes, and privileged activity where supported and required.

Integrate audit telemetry with appropriate monitoring and reporting capabilities and define retention and evidence requirements.

Validate that audit records are searchable, attributable, protected from inappropriate modification, and useful for investigation.

5. Data Lifecycle, Revocation, and Deletion

Design controls for access revocation when users change roles, leave a project, or when licensing rights expire.

Design methods to identify and remove licensed data from primary stores and relevant downstream copies, extracts, caches, or derived stores.

Address deletion implications for referential integrity, backups, archives, replication, recovery processes, and downstream consumers.

Define validation, exception handling, and evidence mechanisms to demonstrate that required deletion activities were completed.

6. Solution Architecture and Engineering

Translate requirements into current-state and target-state architectures, technical specifications, security patterns, and implementation plans.

Compare solution options and document trade-offs across security, feasibility, performance, scalability, operability, cost, and technology constraints.

Define database connectivity, policy-enforcement, identity, audit, monitoring, lifecycle, and integration components.

Collaborate with database, IAM, security architecture, infrastructure, application, data platform, governance, and scientific teams.

7. POC Design and Execution

Select suitable relational database and workflow candidates that represent Data In-Licensing scenarios and material technical risks.

Define POC architecture, test data, test identities, success criteria, negative tests, performance considerations, and rollback approach.

Implement and validate identity-based authentication, fine-grained authorization, data firewalling, auditing, access revocation, and deletion scenarios.

Document outcomes, limitations, operational considerations, reusable patterns, and recommendations for broader adoption.

What we expect:

Expected Deliverables

Technical assessment of databases, integrations, identities, and data flows

Current-state database security and capability assessment

Target-state data security architecture and detailed technical design

Database authentication and identity-integration design

Row-level, column-level, masking, and policy-enforcement design

Data firewalling and licensed-dataset isolation pattern

Audit, monitoring, traceability, and reporting design

Access revocation, retention, lifecycle, and deletion design

Solution options, feasibility, gap, dependency, and risk assessment

POC architecture, implementation, test results, and recommendations

Reusable implementation patterns and operational handover documentation

Required Technical Skills and Experience

Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, privileges, and access paths.

Practical experience implementing database-level authorization, including row-level and column-level controls or equivalent fine-grained mechanisms.

Strong knowledge of database authentication, IAM, OAuth 2.0, OIDC, tokens, service identities, workload identities, and secrets management.

Experience designing secure database connectivity and integrations for applications, analytical tools, APIs, ETL/ELT, and data pipelines.

Experience with database auditing, query/activity monitoring, centralized logging, alerting, and investigation support.

Understanding of data lineage, lifecycle, retention, revocation, deletion, backup, archive, and recovery implications.

Ability to evaluate heterogeneous database technologies and design platform-appropriate controls.

Strong architecture, engineering, troubleshooting, documentation, and stakeholder-collaboration skills.

Nice to have:

Experience with enterprise data platforms, cloud or hybrid databases, data catalogs, access governance, and policy-enforcement technologies.

Experience in pharmaceutical research, scientific data, intellectual property protection, data licensing, or another regulated environment.

Experience designing and executing security POCs and converting validated patterns into production-ready designs.

Knowledge of privacy, contractual-use restrictions, segregation, and evidence requirements affecting licensed data.

Job Title: Java + Apache Spark Developer

Experience: 5–10 Years

Location: Mumbai

Work Mode: Hybrid (3 Days WFO)

Job Description:

Looking for hands-on Java Developers with strong experience in Apache Spark and distributed data processing. Candidates should have experience building and optimizing data pipelines, working with Spark SQL, and using Snowflake or Databricks for enterprise data engineering solutions.

Mandatory Skills:

Java, Apache Spark, Spark SQL, Snowflake / Databricks, SQL, ETL.

LEAD DATA SECURITY SOLUTION ENGINEER

Experience: 10+ Years

Location: Remote

Employment Type: Full-Time

Budget: Up to ₹35 LPA

Time Zone: US Eastern Time (ET)

Shift: US ET Night Shift

Job Description

We are looking for an experienced Lead Data Security Solution Engineer with strong expertise in database security, IAM, authentication, authorization, and enterprise data architecture.

The candidate will be responsible for assessing existing database environments, designing secure data access architectures, implementing fine-grained authorization controls, and ensuring licensed data is protected throughout its lifecycle.

The role involves working closely with database, IAM, security, infrastructure, application, data platform, and governance teams.

Key Responsibilities

1. Technical and Database Assessment

• Assess database platforms, schemas, data flows, data lineage, connectivity, and downstream dependencies.
• Review where licensed data is stored, transformed, replicated, extracted, cached, archived, and backed up.
• Evaluate existing database security capabilities and identify gaps, risks, and technical constraints.

2. Authentication and Identity Integration

• Design secure authentication for users, applications, service identities, and workloads.
• Implement or evaluate OAuth 2.0, OIDC, token-based authentication, and enterprise IAM integration.
• Integrate enterprise identities, security groups, database roles, and policy engines.
• Reduce dependency on shared and long-lived credentials.

3. Fine-Grained Authorization and Data Security

• Design and implement database-level access controls.
• Implement Row-Level Security (RLS), Column-Level Security (CLS), dynamic data masking, and policy-based filtering.
• Design secure isolation patterns for licensed datasets.
• Ensure security policies are enforced at the database layer.

4. Auditing, Monitoring, and Traceability

• Design database auditing and activity monitoring.
• Track user access, queries, exports, permission changes, and privileged activities.
• Integrate audit logs with centralized monitoring and reporting systems.
• Define audit retention and investigation requirements.

5. Data Lifecycle and Deletion

• Design access revocation mechanisms for users, projects, and expired licensing agreements.
• Define secure data deletion processes across databases, backups, archives, caches, and downstream systems.
• Ensure deletion activities are validated and supported by audit evidence.

6. Solution Architecture and Engineering

• Develop current-state and target-state security architectures.
• Prepare technical specifications, implementation plans, and reusable security patterns.
• Evaluate solution options based on security, scalability, performance, feasibility, and cost.
• Collaborate with cross-functional technical and business teams.

7. POC Design and Execution

• Design and execute Proof of Concepts (POCs) for database security scenarios.
• Validate authentication, authorization, data isolation, auditing, access revocation, and deletion.
• Document test results, technical limitations, recommendations, and implementation approaches.

Required Technical Skills

• 10+ years of experience in database engineering, data security, solution architecture, or related fields.
• Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, and privileges.
• Experience implementing Row-Level Security (RLS), Column-Level Security (CLS), dynamic masking, and fine-grained authorization.
• Strong understanding of IAM, OAuth 2.0, OIDC, token-based authentication, service identities, and workload identities.
• Experience with secrets management and secure database connectivity.
• Knowledge of database auditing, query monitoring, centralized logging, alerting, and security investigations.
• Experience securing integrations involving applications, APIs, analytical tools, and ETL/ELT pipelines.
• Understanding of data lineage, retention, lifecycle management, revocation, deletion, backup, and recovery.
• Ability to assess heterogeneous database platforms and recommend suitable security architectures.
• Strong architecture, troubleshooting, documentation, and stakeholder-management skills.

Nice to Have

• Experience with enterprise data platforms and cloud or hybrid database environments.
• Knowledge of data catalogs, access governance, and policy-enforcement technologies.
• Experience in pharmaceutical research, healthcare, scientific data, or intellectual property protection.
• Exposure to data licensing, contractual-use restrictions, and regulated environments.
• Experience designing and executing security POCs and implementing production-ready solutions.

Expected Deliverables

• Database security and capability assessment.
• Current-state and target-state security architecture.
• Database authentication and IAM integration design.
• Fine-grained authorization and data-masking design.
• Data firewalling and licensed-dataset isolation patterns.
• Audit, monitoring, and traceability framework.
• Data revocation, retention, and deletion strategy.
• Technical feasibility, gap, dependency, and risk assessments.
• POC implementation, test results, and recommendations.
• Reusable technical documentation and operational handover.

Work Requirements

• Fully remote opportunity.
• Full-time employment.
• Must be comfortable working in the US Eastern Time (ET) night shift.
• Budget: Up to ₹35 LPA.

SENIOR DATA ENGINEER – DATABRICKS & SNOWFLAKE

Experience: 7+ Years

Location: Remote

Employment Type: Full-Time

Budget: Up to ₹30 LPA

Time Zone: US Eastern Time (ET)

Shift: US ET Night Shift

Job Description

We are looking for an experienced Senior Data Engineer with strong expertise in Databricks, Snowflake, Apache Spark, and AWS to design, develop, and maintain scalable data engineering solutions.

The candidate will work on integrating data from multiple sources, building modern data pipelines, developing enterprise data models, and preparing data platforms for AI/ML applications.

Experience in healthcare, scientific data, or the histopathology domain will be an added advantage.

Key Responsibilities

• Design, build, and maintain scalable data pipelines to acquire, integrate, and manage data from diverse sources such as laboratory systems, MES, clinical supply, quality systems, and external partners.
• Develop and optimize data workflows for structured and unstructured data using Python, PySpark, R, SQL, Databricks, and Snowflake.
• Design and maintain enterprise-level data models and data repositories.
• Perform ETL development, data warehousing, database design, and data integration.
• Ensure data quality, versioning, traceability, and consistency to support AI/ML readiness.
• Collaborate with stakeholders and technical teams to translate business requirements into technical solutions.
• Manage multiple projects while ensuring scalability, performance, and reliability.

Required Skills

• 7+ years of experience in Data Engineering.
• Strong hands-on experience with Databricks and Snowflake.
• Excellent knowledge of Apache Spark / PySpark.
• Strong experience with AWS cloud services and AWS RDS.
• Experience with Oracle and Microsoft SQL Server (MSSQL).
• Proficiency in Python, R, and SQL.
• Strong understanding of ETL, Data Warehousing (DWH), data modeling, and database design.
• Experience with dbt and cloud-based data architectures.
• Knowledge of NoSQL and graph databases.
• Strong analytical, problem-solving, and stakeholder-management skills.
• Good English communication skills (B2 level or above).
• Willingness to work in the US Eastern Time (ET) night shift.

Preferred / Good to Have

• Experience in histopathology, healthcare, life sciences, or scientific data environments.
• Knowledge of CDISC, HL7, FHIR, OMOP, DICOM, or other regulated data standards.
• Experience handling high-dimensional data, including imaging and sensor data.
• Familiarity with MLOps and machine learning model deployment workflows.
• Knowledge of Manufacturing Execution Systems (MES) and Laboratory Information Management Systems (LIMS).
• Exposure to knowledge graphs and ontology-driven architectures.

Education

Bachelor's degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field. A master's degree is preferred.

Interested candidates can apply with their updated resumes.

About VerbaFlo.ai:

VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.

Role Overview:

We are seeking a Senior Business Data Analyst with strong experience in analytics, SQL, and dashboarding (preferably Metabase) who can independently lead complex analytical initiatives, translate business problems into scalable data solutions, and mentor junior analysts. This role demands someone who can think strategically, operate with high ownership, and ensure the company runs on accurate, timely, and actionable insights.

Responsibilities:

Strategic & Cross-Functional Ownership

• Partner with leadership (Product, Ops, Growth, Finance) to translate business goals into analytical frameworks, KPIs, and measurable outcomes.
• Influence strategic decisions by providing data-driven recommendations, forecasting, and scenario modeling.
• Drive adoption of data-first practices across teams and proactively identify high-impact opportunity areas.

Analytics & Dashboarding

• Own end-to-end development of dashboards and analytics systems in Metabase (or similar BI tools).
• Build scalable KPI frameworks, business reports, and automated insights to support day-to-day and long-term decision-making.
• Ensure data availability, accuracy, and reliability across reporting layers.

Advanced Data Analysis

• Write, optimize, and review complex SQL queries for deep-dives, cohort analysis, funnel performance, and product/operations diagnostics.
• Conduct root-cause analysis, hypothesis testing, and generate actionable insights with clear recommendations.

Data Infrastructure Collaboration

• Work closely with engineering/data teams to define data requirements, improve data models, and support robust pipelines.
• Identify data quality issues, define fixes, and ensure consistency across systems and sources.

Leadership & Process Excellence

• Mentor junior analysts, review their work, and establish best practices across analytics.
• Standardize reporting processes, create documentation, and improve analytical efficiency.

Core Requirements:

• 5–8 years of experience as a Business Analyst, Data Analyst, Product Analyst, or similar role in a fast-paced environment.
• Strong proficiency in SQL, relational databases, and building scalable dashboards (Metabase preferred)
• Demonstrated experience in converting raw data into structured analysis, insights, and business recommendations.
• Strong understanding of product funnels, operational metrics, and business workflows.
• Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
• Proven track record of independently driving cross-functional initiatives from problem definition to execution.
• Experience with Python, Git, or BI tools like Looker/Power BI/Tableau.
• Hands-on with data warehouses (BigQuery, Redshift, Snowflake).
• Familiarity with product analytics tools (Mixpanel, GA4, Amplitude).
• Exposure to forecasting, financial modeling, or experimentation (A/B testing).

Why Join Us?

• Work directly with top leadership in a high-impact role.
• Be part of an innovative and fast-growing AI startup.
• Opportunity to take ownership of key projects and drive efficiency.
• A collaborative, ambitious, and fast-paced work environment.
• Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.

If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!

Apply now to join VerbaFlo.AI on this journey.

Job Description – Full Stack Java Developer (Healthcare Domain)

Job Title: Full Stack Java Developer

Experience: 4+ Years

Domain: Healthcare

Location: Hyderabad / Bangalore

Job Summary

We are looking for an experienced Full Stack Java Developer with healthcare domain experience and strong technical expertise in Core Java, J2EE, OOPS, Spring, Hibernate, and PostgreSQL/SQL. The candidate should have experience developing and maintaining scalable healthcare applications.

Key Responsibilities

• Design, develop, and maintain healthcare applications using Core Java and J2EE.
• Develop backend services using Spring / Spring Boot and Hibernate.
• Work with PostgreSQL and SQL databases.
• Develop and integrate RESTful APIs.
• Work on healthcare applications involving patient records, clinical data, billing, and healthcare workflows.
• Ensure secure handling of healthcare and patient data.
• Troubleshoot, debug, and optimize application performance.
• Collaborate with cross-functional teams in an Agile environment.

Mandatory Skills

• Core Java / J2EE
• OOPS Concepts
• Spring / Spring Boot
• Hibernate
• PostgreSQL / SQL
• REST API Development
• Healthcare Domain Experience

Good to Have

• Healthcare standards: HL7 / FHIR
• EHR / EMR applications
• Healthcare interoperability
• Microservices Architecture
• Maven / Git / CI/CD tools

We are looking for a Database Developer (PostgreSQL) .

Requirements

- 5+ years of hands-on PostgreSQL experience in a production or production-adjacent context 

- Strong SQL skills, including joins, aggregation, common table expressions, window functions, upserts, and DDL

- Ability to read execution plans and use a systematic approach to diagnose and rewrite slow SQL statements

- Practical understanding of transactions, isolation levels, locking, and MVCC

- Experience with physical database design, including tables, keys, constraints, indexes, and partitioning

- Practical experience with data migrations, including bulk or incremental loads, cutovers, and validation

- Practical backup and restore experience, including retention, point-in-time recovery, or restore testing

- Ability to write reliable operational scripts and idempotent reconciliation or backfill processes

- Basic Python experience for data loading and operational scripting.

Nice to have

- Experience with a schema migration tool such as Alembic, Flyway, or Liquibase 

- Experience managing declarative partitioning at scale

- Experience with managed cloud PostgreSQL

- Experience tuning PostgreSQL statistics, autovacuum, bloat, and lock contention

About the Role

We are looking for enthusiastic Backend Developer Interns to join our team remotely for a 3-month internship. This is an excellent opportunity to gain hands-on experience in backend development, work on real projects, and expand your technical skills.

Responsibilities

• Assist in developing and maintaining backend services and APIs.
• Work with databases (SQL/NoSQL) for data storage and retrieval.
• Collaborate with frontend developers to integrate user-facing elements with server-side logic.
• Write clean, efficient, and reusable code.
• Debug, troubleshoot, and optimize backend performance.
• Participate in code reviews and team discussions.
• Document technical processes and contributions.

Requirements

• Basic knowledge of at least one backend language/framework (Node.js, Python/Django/Flask, Java/Spring Boot, or similar).
• Understanding of RESTful APIs and web services.
• Familiarity with relational and/or NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).
• Knowledge of Git/GitHub for version control.
• Strong problem-solving and analytical skills.
• Ability to work independently in a remote environment.
• Good communication skills and eagerness to learn.

What You'll Gain

• Real-world experience in backend development.
• Mentorship and exposure to industry practices.
• Completion Certificate at the end of the internship.
• Letter of Recommendation based on performance.
• Opportunity to strengthen your portfolio with live projects.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Perks: Completion Certificate + Letter of Recommendation

Navtech is a premier IT software and services provider. Our mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future.

We have been recognized as the Best Cloud Service Provider by GoodFirms for delivering quality services and results. We strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients globally.

We are a fast-growing company serving clients across the United States, UK and Europe. You will work with a team of talented developers, quality engineers and product managers who are passionate about building impactful technology solutions.

About the role

You will test and automate end-to-end business workflows for a rights and licensing platform and the media systems connected to it. You will learn the existing manual and automated tests from the client's testers, then expand automation coverage using Ginger.

Key Responsibilities

• Learn existing test cases, test data and environments from the client's test team.
• Execute manual and automated tests for releases, new features and partner integrations.
• Build and maintain Ginger automation for regression and end-to-end flows.
• Validate backend data with SQL.
• Log, track and retest defects; support UAT with client users.

Who Are We Looking For Exactly?

• 4+ years in software testing, with 2+ years of test automation.
• Ginger (byAmdocs), or strong experience in Selenium, Katalon or UFT plus willingness to learn Ginger.
• End-to-end and integration testing across multiple systems.
• SQL for data setup and validation.
• Defect tracking in Jira or similar.

Good to have

• Media, telecom or billing domain testing.
• API testing with Postman or similar.
• Experience automating legacy Windows applications.

What we will assess

• Writing test cases for a given business workflow.
• A short automation exercise or walkthrough of a framework they built.

Navtech is a premier IT software and services provider. Our mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future.

We have been recognized as the Best Cloud Service Provider by GoodFirms for delivering quality services and results. We strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients globally.

We are a fast-growing company serving clients across the United States, UK and Europe. You will work with a team of talented developers, quality engineers and product managers who are passionate about building impactful technology solutions.

About the role

You will lead testing for the C++ rules engine and the media workflows around it. The client tests end-to-end business flows (licensing, metadata, content delivery to partners) and uses Ginger for test automation. You will take over the test suites, run SIT and UAT cycles, and lead two automation engineers.

Key Responsibilities

• Lead knowledge transfer from the client's test team on test cases, data and environments.
• Plan and run system integration testing (SIT) and support user acceptance testing (UAT).
• Own the Ginger automation suite for the pod and grow its coverage.
• Lead and review the work of 2 QA automation engineers.
• Coordinate test plans for new partner integrations and feature releases.
• Report quality metrics and release readiness to the Delivery Manager and the client.

Who Are We Looking For?

• 8+ years in software testing, with 2+ years leading a QA team.
• Hands-on Ginger (byAmdocs) test automation, or deep experience in a comparable tool (Selenium, Katalon, UFT) and willingness to learn Ginger quickly.
• End-to-end testing of complex business workflows across several integrated systems.
• Strong SQL for test data setup and backend validation.
• SIT and UAT planning and execution.

Good to have

• Testing in media supply chain, rights management, telecom billing or similar transaction-heavy domains.
• API testing (Postman, RESTAssured).
• Test management tools (Jira/Xray, Zephyr, Azure Test Plans).

What we will assess

• Writing a test strategy for a multi-system business workflow.
• A Ginger or automation framework walkthrough from past work.

About the Role

We are looking for enthusiastic Data Analytics Interns to join our team remotely for a 3-month internship. This is an excellent opportunity to gain hands-on experience in data analysis, data visualization, database management, and reporting. The selected candidates will have the opportunity to work on real projects, analyze datasets, and develop their technical and analytical skills.

Responsibilities

• Assist in collecting, cleaning, organizing, and analyzing datasets.
• Work with SQL and databases for data retrieval, manipulation, and analysis.
• Use Microsoft Excel to organize data, perform calculations, and prepare reports.
• Assist in creating dashboards and visualizations using Power BI or Tableau.
• Work with Python libraries such as Pandas and NumPy for data analysis.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Prepare reports and presentations based on analytical findings.
• Assist in tracking key performance indicators (KPIs) and monitoring business data.
• Maintain accurate documentation of data analysis activities and project contributions.
• Collaborate with team members on data-related projects and analytical tasks.

Requirements

• Basic knowledge of Data Analytics and data analysis concepts.
• Understanding of SQL and database fundamentals.
• Familiarity with Microsoft Excel and data management.
• Basic knowledge of Python is preferred.
• Familiarity with data visualization tools such as Power BI or Tableau is an advantage.
• Strong analytical and problem-solving skills.
• Good research and organizational abilities.
• Attention to detail and accuracy.
• Ability to work independently in a remote environment.
• Good communication skills and eagerness to learn.

What You'll Gain

• Real-world experience in data analytics and business intelligence.
• Hands-on experience with data cleaning, analysis, and visualization.
• Exposure to industry-relevant tools such as SQL, Python, Excel, and Power BI.
• Mentorship and exposure to practical analytical processes.
• Completion Certificate at the end of the internship.
• Letter of Recommendation based on performance.
• Opportunity to strengthen your portfolio with real-world data projects.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Perks: Completion Certificate + Letter of Recommendation

Technical Stack

- PySpark

- Databricks

- Microsoft Azure

- SQL

- Kubernetes

Key Responsibilities & Expectations

- Must be self-driven, proactive, and capable of independently delivering high-quality solutions.

- Demonstrate strong ownership and accountability for assigned tasks and deliverables.

- Ability to work with minimal supervision while consistently meeting project objectives and quality standards.

• Role: .NET Support Engineer
• Experience: 6+ Years
• Location: Hyderabad
• Notice Period: Immediate Joiners Preferred
• Interview Process: Virtual / Face-to-Face (At least one round F2F)

Mandatory Skills:

• Strong experience in .NET, ASP.NET and C#.
• Hands-on experience with SQL Server and SQL query writing, execution and troubleshooting.
• Experience in L1 and L2 Application Support.
• Experience in Production Support and application maintenance.
• Strong troubleshooting, debugging and incident resolution skills.
• Experience in Incident Management and Root Cause Analysis (RCA).

We have an urgent requirement for a .NET Support Engineer. Kindly share suitable profiles matching the below criteria at the earliest.

Requirement Details:

• Mandatory Skills: .NET, SQL Queries, L1 & L2 Support
• Good-to-Have Skills: Relevant production support experience
• Experience: 6+ Years
• Location: Hyderabad (HYD)
• Budget: Up to 20 LPA
• Interview Process: Virtual / F2F ( Any 1 round F2F )
• Notice Period: Immediate Joiners Preferred

Additional Remarks: Candidates should have strong experience in application support, troubleshooting, incident management, and SQL query handling.

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

Junior PHP/Laravel developer - Education ERP

Experience: 1.5-3 Years

Location: Remote

We are looking for a Junior PHP/Laravel Developer with hands-on experience in Core PHP, Laravel, and MySQL. The candidate will work on Education ERP/EdTech applications, developing new features, fixing bugs, handling databases, and supporting existing applications.

Key Responsibilities:

Develop and maintain web applications using Core PHP and Laravel.

Write and optimize MySQL/SQL queries and perform database operations.

Develop and maintain ERP/EdTech modules and features.

Create and integrate REST APIs and third-party services.

Debug and resolve application issues and bugs.

Understand existing codebases, database structures, and data flow.

Follow coding standards, Git practices, and development best practices.

Coordinate with senior developers to complete assigned tasks on time.

Required Skills

• Core PHP & Laravel
• MySQL / SQL
• Database relationships, joins, CRUD, and query optimization
• HTML, CSS, JavaScript & jQuery
• REST APIs and API integration
• Basic Git/version control
• Good debugging and problem-solving skills
• Ability to understand and work with an existing codebase
• Preferred Experience

Experience with any of the following will be an advantage:

• Education ERP / EdTech
• LMS / School / College Management Systems
• Admission & Student Management
• Fee Management
• Examination Modules
• HRMS
• Finance Modules Qualifications

B.Tech/B.E. (CS/IT), BCA, MCA, or equivalent qualification with relevant development experience.

What We Offer:

• Remote Work
• Opportunity to work on Education ERP products
• Learning and professional growth opportunities
• Exposure to real-world enterprise applications
• Supportive development environment

Key Skills :

• Builds AI-powered business applications end to end, from the Python/FastAPI service layer through

to React-based user interfaces, deployed on Databricks

• Designs and builds APIs connecting AI agents, governed data and user-facing workflows, including

decision capture, audit logging and file exports for downstream systems

• Codes rule-based decision engines in Python (e.g. allocation or replenishment logic) that work

alongside ML models

• Integrates LLM agent runtimes into applications, including tool calls, streamed responses and cited

outputs

• Writes performant SQL against governed data and ensures services operate within defined access

boundaries

• Builds interactive screens, dashboards and conversational interfaces that let users review and act

on AI recommendations

• Works closely with GenAI/ML engineers, data engineers and BA

Only immediate joiners are considered.

🚀 We're Hiring – Angular Developer 🚀

📍 Location: Taramani, Chennai

💼 Experience: 1–5 Years

📄 Employment Type: Contract

⏳ Duration: 6+ Months

💰 CTC: ₹2 – ₹3.5 LPA

⚡ Immediate Joiners Only

Skills Required:

✔️ Angular (v12+)

✔️ TypeScript

✔️ JavaScript (ES6+)

✔️ HTML5, CSS3

✔️ SQL

✔️ REST API Integration

✔️ Angular Material / Bootstrap

✔️ Git

🚀 We're Hiring – Node.js Developer 🚀

📍 Location: Taramani, Chennai

💼 Experience: 1–5 Years

📄 Employment Type: Contract

⏳ Duration: 6+ Months

💰 CTC: ₹2 – ₹3.5 LPA

⚡ Immediate Joiners Only

Skills Required:

✔ Node.js

✔ Express.js / NestJS

✔ JavaScript (ES6+)

✔ SQL

✔ REST APIs

✔ JWT/OAuth

✔ MongoDB / PostgreSQL / MySQL

✔ Git

Junior PHP/Laravel Developer - Education ERP

Experience: 1.5 -3 Years

Employment Type: Full Time

Location : Remote

We are looking for a Junior PHP/Laravel Developer with hands -on experience in Core PHP ,Laravel ,and MySQL The candidate will work

on Education ERP/EdTech applications, developing new features, fixing

bugs ,handling databases,,and supporting existing applications.

Key Responsibilities

• Develop and maintain web applications using Core PHP and Laravel.
• Write and optimize My SQL/SQLqueries and perform database operations.

Key Responsibilities:

• Deliver new functionalities for calculation platform and for upcoming next gen applications for the Sustainability & Climate Business.
• Monitor and optimize application performance.
• Closely collaborate with Product Management, Research and Product Development, Quality Assurance, Data Operation and IT Infrastructure on all stages of software development life cycle.
• Having very good hands-on working experience in Python and Fast API/Flask/Django or similar Rest API based Frameworks.
• Should have worked on at least one end to end Development project from scratch.
• Worked in a team to implement features and partner with Product Owners, UI/UX Team, Architects, and QA to develop implementation plans with a focus on innovation, quality, sustainability, and delivering value to our business clients.
• Responsible for delivery of high-quality enterprise offerings within schedules.
• The candidate should have excellent problem solving and debugging skills.
• The candidate should have experience with maintenance of legacy, phyton applications and incident management on production systems
• The candidate is expected to have excellent communication and good leadership skills.

Skills and experience that will help you excel:

• Good hands-on working experience in Python.
• Experience in research-oriented calculation frameworks like Numpy and Pandas
• Proficient in RESTful Web Services using Fast API, Django or Flask.
• Good Understanding and hands on experience with SQL/NoSQL Databases
• Good understanding of the importance of testing in software development and the usage of unit testing framework like pytest/unittest.
• Source code control systems, especially Git. - Hands on cloud technologies Google or Azure preferred
• Hands on experience with Azure Databricks, Spark, or similar framework
• Experience in building batch/ETL/integration process on cloud preferred Google, Azure
• Existing domain knowledge of climate products including emissions, physical risk, biodiversity
• Experience in developing and managing microservices on cloud.
• DevOps, and well versed with security practices.
• Exposure and advocate of Open source software
• Exposure to use of AI, LLM to solve business problems is an added advantage.
• Experience In designing solution for data-driven applications
• Strong communication, interpersonal and problem-solving skills
• Bachelors degree in computer science, Mathematics, Engineering, related field, or equivalent experience

About the role

You'll join our Backend, Data & ML team and support API development, database work, integrations and data tasks under the guidance of senior teammates.

What you'll do

• Build and maintain backend APIs and services.
• Write database queries, migrations and data scripts.
• Support third-party and internal integrations.
• Help with data processing and cleaning tasks.
• Fix bugs, write tests and document your work.

What we're looking for

• 1-3 years of backend experience (internships and strong projects count).
• Working knowledge of Django and SQL.
• Understanding of REST APIs, databases and Git.
• Interest in data engineering and ML.
• Clear communication and willingness to learn.
• Experience working with AI tools for development such as Claude and Cursor

Note: You don't need to be full stack. A solid backend foundation and the ability to work with frontend and mobile teammates is what we're after.

Nice to have

• Python and basic data tools (for example pandas).
• Exposure to cloud platforms or Docker.

About the role

You'll work alongside a Senior Backend, Data & ML Developer and our existing backend team to build backend systems, process data, and integrate ML and data science models into our platform.

What you'll do

• Build and maintain backend services and APIs.
• Develop data processing workflows and pipelines.
• Implement, integrate and maintain ML models and data science algorithms in production.
• Optimise database queries, data models and system performance.
• Work with the frontend and mobile teams on API integrations.
• Write tests and documentation, and take part in code reviews.

What we're looking for

• 3–5 years of backend development experience.
• Strong skills in Django and working knowledge of SQL databases.
• Practical experience with ML models and data science algorithms, from training or integration through to deployment.
• Experience handling and transforming data at scale.
• Experience with cloud platforms, Git and CI/CD.
• Clear communication with backend, web and mobile teammates.
• Experience working with AI tools for development such as Claude and Cursor

Note: Full-stack experience isn't required. Strong backend and data skills plus good cross-team communication matter most.

Nice to have

• Python data and ML tools (for example pandas, scikit-learn or PyTorch).
• Experience with model serving or MLOps tools.

We are seeking a highly skilled Python Programmer and Insurance Analytics Lead to design, develop, automate, and operationalize predictive model development pipelines for Property & Casualty (P&C) Insurance. The role involves building reusable Python frameworks, feature engineering pipelines, MLOps solutions, automated model deployment and monitoring, and scalable analytics platforms supporting pricing, underwriting, claims, fraud detection, retention, and risk analytics.

Key Responsibilities

• Design, develop, and maintain scalable Python frameworks and automated predictive modeling pipelines for P&C insurance.
• Build robust feature engineering pipelines and implement MLOps practices for model deployment, monitoring, and lifecycle management.
• Drive insurance rating modernization by transforming legacy rating engines and integrating predictive models into pricing platforms.
• Collaborate with Data Scientists, Actuaries, Cloud Engineers, and business stakeholders to deliver scalable insurance analytics solutions.
• Lead ETL development and optimization initiatives across multiple teams, improving data integration, quality, and processing efficiency.
• Drive strategic initiatives to enhance ETL practices, establish best practices, and develop long-term technology roadmaps.
• Lead and mentor a team of 5+ professionals, ensuring effective delivery and technical excellence.
• Represent the ETL team in executive-level meetings and collaborate with cross-functional stakeholders on strategic initiatives.
• Support analytics solutions across pricing, underwriting, claims, fraud detection, customer retention, and risk management.

Required Skills & Qualifications

• 9–12 years of experience in Python development, ETL, data engineering, or data management.
• Strong hands-on expertise in Python programming, including Pandas, NumPy, object-oriented programming (OOP), classes, and coding best practices.
• Experience developing automated data pipelines, ETL frameworks, and scalable data processing solutions.
• Working knowledge of AWS cloud services, particularly Amazon S3 and data integration.
• Strong SQL skills and experience with database integrations and data processing.
• Experience in Property & Casualty (P&C) insurance analytics, insurance pricing, rating engines, underwriting, claims, or risk analytics.
• Understanding of predictive modeling pipelines, feature engineering, and MLOps practices.
• Experience leading teams of 5+ professionals and driving cross-functional technical initiatives.
• Strong stakeholder management, communication, and strategic planning skills.

Preferred Qualifications

• Experience in insurance rating modernization and integrating predictive models into pricing platforms.
• Exposure to model deployment automation, monitoring, and scalable analytics platforms.
• Experience collaborating with actuarial, data science, and cloud engineering teams.
• A bachelor's or master’s degree in computer science, Data Science, Information Technology, or a related field.

Location & Travel

• Locations: New Delhi (Gurugram), Bangalore, and Pune.
• Candidates may be required to travel to Gurugram on a quarterly basis, depending on client requirements.

Shift: Second Shift (2:00 PM – 10:00 PM)

Joining: Immediate

About the Role

We are looking for an experienced Data Integration Developer with strong hands-on expertise in SQL, Python, ETL development, Snowflake, and AWS data services.

The ideal candidate should have extensive experience in designing, developing, and maintaining data integration solutions, building data warehouse architectures, and implementing scalable ETL pipelines. Strong SQL development and performance optimization skills are essential for this role.

This is a remote position; however, candidates must be available to visit our Mumbai or Bangalore location for three days during the onboarding process.

Key Responsibilities

SQL Development & Performance Optimization

• Develop complex SQL queries, stored procedures, and data transformation logic.
• Optimize SQL queries for performance, scalability, and efficiency.
• Perform advanced data analysis, validation, and reconciliation.
• Troubleshoot complex SQL and data-related issues.

ETL Development & Data Integration

• Design, develop, and maintain ETL pipelines and data integration workflows.
• Work with SQL and Python for data extraction, transformation, and loading.
• Ensure data accuracy, consistency, and integrity across systems.
• Identify and resolve data pipeline failures and integration issues.

Data Warehousing & Data Modeling

• Design and maintain data warehouse architectures.
• Develop data warehouse schemas based on business requirements.
• Work on dimensional data modeling, including Facts and Dimensions.
• Implement Slowly Changing Dimensions (SCD).
• Support data analysis and business information reconciliation.

Snowflake & AWS

• Develop and manage data solutions using Snowflake.
• Work with AWS services, particularly Amazon S3.
• Manage AWS connections and data access configurations.
• Build and maintain cloud-based data integration solutions.

Python & Apache Airflow

• Develop data processing and automation solutions using Python.
• Build, schedule, and monitor workflows using Apache Airflow.
• Troubleshoot workflow failures and improve pipeline reliability.

Agile & Development Lifecycle

• Participate in Agile development processes, sprint planning, and team discussions.
• Contribute throughout all stages of the software development lifecycle.
• Collaborate with cross-functional teams to understand business and technical requirements.
• Perform root cause analysis and implement appropriate corrective actions.

Required Skills

• Advanced SQL – Strong hands-on expertise is mandatory.
• Python Development
• ETL Development and Data Integration
• Snowflake
• Apache Airflow
• AWS Services, particularly Amazon S3
• AWS Connection Management
• Data Warehouse Architecture
• Data Modeling (Facts & Dimensions)
• Slowly Changing Dimensions (SCD)
• SQL Query Optimization and Performance Tuning
• Data Analysis and Reconciliation
• Troubleshooting and Root Cause Analysis
• Agile Development Methodologies
• Strong understanding of the Software Development Life Cycle (SDLC)

Experience & Qualifications

• 8–10 years of overall experience in Data Engineering / Data Integration / ETL Development.
• Strong professional experience in advanced SQL and Python.
• Hands-on experience with Snowflake, Apache Airflow, and AWS.
• Proven experience designing and developing data warehouse solutions.
• Experience working across the complete product development lifecycle.
• Ability to independently troubleshoot complex technical challenges.

Additional Requirements

• Immediate joiners preferred.
• Must be comfortable working in the second shift (2:00 PM – 10:00 PM).
• Position is remote, with a mandatory three-day onboarding visit to Mumbai or Bangalore.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively in an Agile environment.

We are looking for a talented .NET Software Engineer to join our growing team and help us build smart, scalable technology solutions that streamline and automate complex business operations. In this role, you’ll work in a collaborative, agile environment where continuous improvement, ownership, and innovation are part of our everyday culture.

If you enjoy solving real business challenges through clean architecture and high-quality code, this is an opportunity to make a direct impact on the performance and efficiency of the systems our clients rely on. Join us and help shape the technology behind smarter, better-optimized workflows.

What You’ll Be Doing:

• Develop, integrate, and test complex enterprise-level applications that support critical business processes.
• Collaborate with developers, architects, and product teams to refine requirements and translate them into scalable technical solutions.
• Troubleshoot and enhance system architecture, identifying and resolving performance or reliability bottlenecks.
• Implement and advocate for best practices in coding standards, system design, testing, security, and maintainability.
• Review code and pull requests to ensure alignment with specifications and overall product quality.
• Participate in agile ceremonies, manage deliverables, and consistently meet development timelines.

What We’re Looking For:

• Proven proficiency in C#/.NET and experience building enterprise applications.
• Strong hands-on experience with MySQL, SQL databases, and advanced querying techniques.
• Familiarity with Angular or other modern front-end frameworks (nice to have).
• Solid understanding of version control, CI/CD pipelines, automated testing, and agile development tools such as Git and Jira.
• Experience working with finance or accounting systems is a strong advantage.
• Ability to write clean, maintainable, and well-documented code with a focus on performance and scalability.
• Strong written and verbal communication skills in English (upper-intermediate level or higher).
• A proactive, resourceful, and solution-oriented mindset — someone who takes ownership and delivers results.
• A degree in Computer Science, Software Engineering, or a related field is a plus.

Are you passionate about creating impactful tech products for Bharat? Join us on an exciting journey to build a multi-million-dollar revenue products from scratch for Bharat.

Open Position: 3 Product Manager / Product Owners. Basically people who can take whole product (consumer app, B2C, i hope you research enough to figure the apps out) from me and scale it end to end.

What we’re looking for:

 • Strong first-principles thinking and user empathy

 • Eagerness to learn quickly

 • Strong in communication

 • AI-first mindset - non negotiable after this december update :)

 • Experience matters less than your enthusiasm to learn and contribute

Why join us?

 •⁠ ⁠Work on solving real problems for Bharat users on scale (5M+ app downloads and growing fast)

 •⁠ ⁠Competitive salary. No bar for the right talent!

 •⁠ ⁠Be part of an ambitious, visionary team

 •⁠ ⁠High ownership, high impact from Day 1

Why NOT to join us? - more important than why join us

 •⁠ ⁠You are someone who need established systems rather than building them, lets meet after 2 years(maybe!)

 •⁠ You think idea to feature cycle should be more than 1 day

 •⁠ You think you know everything.

 •⁠ Looking for work life balance - not the place. You deserve better place.

 •⁠ Ambiguity paralyses you.

Location: Bangalore (Onsite)

Immediate-Joiner Only

We are looking for a Dedicated Candidate for the following role –

Role: .NET Tech Lead

Experience: 7+ Years

Location: Hybrid (Noida)

Duration: 6 Months

Required Skills:

Experience with React.

Strong knowledge of system design, scalable solutions, and application architecture.

Hands-on experience with SQL databases.

Expertise in .NET Core and backend development.

Solution Architect experience is preferred.

Experience with Azure DevOps and CI/CD pipelines.

Senior Ruby on Rails (RoR) & AWS Developer

Experience: 10 Years

Location: Bangalore

Work Mode: Hybrid – 3 days per week in office

Contract Duration: 6 Months

CTC: ₹9–12 LPA

Job Description

We are looking for an experienced Senior Ruby on Rails (RoR) & AWS Developer with strong expertise in backend development, cloud infrastructure, containerization, automated testing, and database management.

Mandatory Skills

• Strong experience in Ruby on Rails (RoR) development.
• Hands-on experience with Amazon Web Services (AWS).
• Experience with Docker and containerized applications.
• Proficiency in RSpec for automated testing and test-driven development.
• Strong knowledge of SQL and relational databases.
• Experience with at least one frontend technology: React.js or Angular.

Key Responsibilities

• Design, develop, test, and maintain web applications using Ruby on Rails.
• Build and integrate REST APIs and backend services.
• Deploy and maintain applications on AWS.
• Containerize applications using Docker.
• Write and maintain automated test cases using RSpec.
• Develop and optimize SQL queries and database operations.
• Collaborate with frontend developers and cross-functional teams.
• Troubleshoot application issues and improve performance, reliability, and code quality.

Work Requirements

• Approximately 10 years of relevant professional experience.
• Willingness to work from the Bangalore office 3 days per week.
• Comfortable with a 6-month contract engagement.

Interested candidates can share their updated resumes for consideration.

Tech Lead – Data Lake Platform

Recruitment & Payroll Company: Neogencode Technologies

Job Location: Sector 43, Gurugram, Haryana

Work Mode: On-site (Work from Office)

Working Days: 5 days a week

Experience Required: 5+ years

Employment Type: Full-time

About the Opportunity

We are hiring a Tech Lead – Data Lake Platform. This opportunity involves working on an enterprise-grade AWS data lake platform supporting data engineering, analytics, reporting, and business applications.

The candidate will be employed on the payroll of Neogencode Technologies and will work at the client location in Sector 43, Gurugram.

Key Responsibilities

• Own and design end-to-end data lake architecture, including data ingestion, staging, curated layers, and data consumption.
• Lead data engineering pipelines using AWS services, Apache Airflow, Spark/PySpark, and dbt.
• Manage AWS data services such as S3, EMR, Glue, Athena, Redshift, Lambda, RDS, IAM, and DMS.
• Design and support API/data-serving solutions using PostgreSQL, Hasura GraphQL, or similar technologies.
• Improve pipeline performance, platform reliability, monitoring, and service-level agreements (SLAs).
• Ensure data security, access control, personally identifiable information (PII) protection, and governance.
• Mentor data engineers, conduct code reviews, and handle production incidents and root-cause analysis.
• Collaborate with business and application teams to deliver data and reporting solutions.

Required Skills

• 5+ years of experience in data engineering or platform engineering, including technical leadership.
• Strong hands-on experience with AWS data services and enterprise data lake architecture.
• Production experience with Apache Airflow, Spark/PySpark, and SQL.
• Strong understanding of data modeling and layered data architecture.
• Experience with PostgreSQL and Hasura GraphQL or a similar API/data-serving layer.
• Proven experience in technical leadership, production support, and troubleshooting.

Good to Have

• Experience with dbt and lakehouse table formats.
• Knowledge of Kafka or streaming data ingestion.
• Experience with Redshift optimization and workload design.

Role Summary

The QA Engineer (Automation + Manual) is responsible for ensuring the quality, reliability, and compliance

readiness of the ERP platform. This role involves end-to-end testing of complex workflows, including compliance

processes, legal case management, and multi-entity operations. The QA will play a critical role in preventing

defects in high-risk areas such as accounting, regulatory filings, and audit trails, while also building automation

frameworks to improve testing efficiency and release confidence.

Job Responsibilities

• Understand business requirements, technical architecture, and ERP workflows.

• Create test strategies and test plans covering functional, integration, and regression testing.

• Identify high-risk areas such as compliance deadlines, approvals, and workflow dependencies.

• Perform functional testing of ERP modules and end-to-end workflow testing.

• Validate complex business scenarios and multi-role workflows such as admin, compliance officer, and accountant.

• Conduct exploratory testing for edge cases.

• Ensure accuracy of financial and legal data flows.

• Design and develop automated test scripts for UI and APIs.

• Build scalable automation frameworks.

• Automate regression suites and critical workflows such as compliance filings, approvals, and calculations.

• Integrate automation with CI/CD pipelines.

• Validate REST / GraphQL APIs.

• Perform data validation between database and API responses.

• Test integration points with third-party APIs and government portals.

• Test multi-step approval workflows, RBAC, and document lifecycle flows.

• Ensure correct escalation and notification flows.

• Conduct basic performance testing, including API response times.

• Identify bottlenecks in workflows and support load testing efforts.

• Log clear, reproducible bugs and track defects through the lifecycle.

• Collaborate with developers for quick resolution.

• Prioritise based on business impact.

• Work closely with the Product Manager and developers for requirements clarity and early testing.

• Participate in sprint planning, daily standups, and sprint demos.

• Use Gen AI as a force multiplier.

Qualifications

• Bachelor's degree in Computer Science / IT / Engineering.

• 5-7 years of experience in QA, including manual and automation testing.

• Experience in enterprise applications / ERP / SaaS platforms.

• Strong experience in workflow-based systems.

• Strong expertise in test case design, exploratory testing, and workflow validation

Full Stack Developer (SaaS Integrations)

1-2 years of experience

Role: Build and maintain integrations between SaaS applications using REST APIs, webhooks, SDKs, and Workato. You’ll turn customer requirements into working integrations and build supporting React.js components when needed.

Responsibilities:

• Develop Python backend services and integration scripts
• Build and maintain Workato recipes and automation workflows
• Handle authentication (OAuth 2.0, JWT, API keys) and data formats (JSON, CSV, XML)
• Map and transform data between systems, and reconcile it to confirm it moved accurately
• Troubleshoot API, authentication, and mapping failures
• Add error handling, retries, logging, and monitoring
• Flag API limitations and technical risks early
• Document integrations, join code reviews, and work with Tech Leads, QA, and stakeholders

Required skills:

• Python, with FastAPI, Flask, or Django
• Strong REST API knowledge: HTTP methods, status codes, headers, pagination, rate limits, webhooks
• Postman or similar tools
• React.js and JavaScript
• Basic SQL (PostgreSQL or MySQL)
• Git

Good to have: Workato experience (not mandatory if you’re willing to learn). Experience with MuleSoft, Boomi, Zapier, Make, or n8n also counts.

Competencies: Problem-solving, independent API troubleshooting, clear communication, ownership, and a strong learning attitude.

Qualification: B.E / B.Tech / MCA / B.Sc / M.Sc in Computer Science, IT, or a related field.

Growth: The role can lead to Integration Engineer or SaaS Implementation Engineer.

Hiring: Backend Developer – Java + Golang

📍 Location: Bengaluru

💼 Experience: 4+ Years

🛠️ Tech Stack: Java + Golang (Backend)

⏳ Notice Period: Immediate joiners or candidates with a maximum 10-day notice period preferred.

Job Description

We are looking for an experienced Backend Developer with strong expertise in Java and Golang to join our engineering team in Bengaluru.

Key Responsibilities:

• Design, develop, and maintain scalable backend applications using Java and Golang.
• Build and integrate REST APIs and backend services.
• Write clean, efficient, reusable, and maintainable code.
• Troubleshoot, debug, and optimize application performance.
• Collaborate with cross-functional teams to deliver reliable software solutions.

Required Skills

• Strong hands-on experience in Java and Golang.
• 4+ years of experience in backend development.
• Experience in REST APIs, backend services, and application development.
• Good understanding of databases, debugging, and performance optimization.
• Strong problem-solving and communication skills.

About the Role

We're looking for engineers who can independently design and build reliable backend services. Beyond writing code, you should be comfortable thinking about performance, data consistency, reliability, and maintainability.

Responsibilities

● Design and implement backend services.

● Translate business requirements into technical solutions.

● Design efficient database schemas.

● Build reliable asynchronous workflows.

● Debug production issues independently.

● Review code and mentor junior engineers.

● Improve application performance and reliability.

● Contribute to technical design discussions.

Must Have Strong Programming Skills

● Proficiency in at least one backend language.

● Strong Object-Oriented Design.

● Good understanding of design principles.

● REST API design.

● Writing maintainable, testable code.

Database Knowledge Comfortable with:

● Database design

● Query optimization

● Transactions

● Indexing strategies

● Locking (high-level understanding)

● Isolation levels (basic understanding)

● Data modelling Concurrency

Working knowledge of:

● Race conditions

● Concurrent updates

● Idempotency (basic understanding)

● Optimistic vs pessimistic locking (conceptual)

● Thread safety (language dependent)

Asynchronous Systems Experience with:

● Background jobs

● Queues

● Retry mechanisms

● Scheduled jobs

● Event-driven workflows (nice to have)

Problem Solving Should be comfortable:

● Debugging production issues.

● Reading logs.

● Identifying bottlenecks.

● Breaking large features into smaller tasks.

● Evaluating trade-offs before implementation.

Good to Have Experience with:

● Redis

● RabbitMQ / Kafka / BullMQ or similar

● Docker

● Kubernetes

● AWS

● CI/CD

● Monitoring & Logging tools

What We Look For Successful engineers here typically:

● Think before coding.

● Write maintainable solutions.

● Understand why a design works, not just how.

● Consider edge cases.

● Take ownership of production issues.

● Help improve the engineering practices of the team.

Interview Focus

● Programming fundamentals

● Database design

● SQL

● Concurrency scenarios

● API design

● Production debugging

● Problem-solving exercise

● Code review discussion

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

NonStop io is seeking a proficient QA Engineer to join our growing team. You will be responsible for quality assurance (manual and automation) of enterprise-level applications.

Roles and Responsibilities:

● Bachelor's degree in Computer Science, Engineering, or a related field

● 3+ years of experience in software quality assurance

● Develop, execute, and maintain comprehensive test plans and test cases for manual and automated testing

● Perform functional, regression, performance, and security testing to ensure software quality

● Identify, document, and track software defects, working closely with development teams for resolution

● Ensure test coverage by working closely with developers, product managers, and other stakeholders

● Establish and maintain continuous integration (CI) and continuous deployment (CD) pipelines for test automation

● Conduct API testing using tools like Postman or Rest Assured

● Strong proficiency in automated testing using either of Selenium or Playwright

● Strong understanding of software testing life cycle (STLC) and defect lifecycle management

● Experience with version control systems (e.g., Git)

● Hands-on experience writing and validating database queries using SQL.

● Knowledge of testing asynchronous, event-driven systems using messaging platforms such as RabbitMQ and Apache Kafka.

● Relevant certifications in software testing (e.g., ISTQB) are desirable but not required.

● Familiarity with test management tools like JIRA, TestRail, or similar

● Solid understanding of software testing principles, methodologies, and techniques

● Experience with Agile development methodologies (Scrum, Kanban, etc.)

● Excellent analytical and problem-solving skills

● Strong attention to detail and a commitment to delivering high-quality software

● Good communication and collaboration skills, with the ability to work effectively in a team environment

● Collaborate with cross-functional teams to enhance the overall quality of the product

● Stay up to date with the latest industry trends and best practices in QA methodologies and automation frameworks Requirements

Why Join Us? 

● Opportunity to work on a cutting-edge healthcare product

● A collaborative and learning-driven environment

● Exposure to AI and software engineering innovations

● Excellent work ethics and culture If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

Position Summary

We are seeking a Mid-Level .NET Developer to design, develop, and support enterprise applications. The ideal candidate has strong experience with .NET, SQL Server, REST APIs, and Azure, and enjoys building scalable, high-quality software in a collaborative Agile environment.

Responsibilities

 Design, develop, test, and maintain .NET applications and RESTful APIs.

 Develop and optimize SQL Server databases, stored procedures, and queries.

 Troubleshoot and resolve application issues while ensuring high performance.

 Collaborate with business analysts, QA, and cross-functional teams.

 Participate in code reviews and follow secure coding and development best practices.

 Support Azure-hosted applications and CI/CD deployment processes.

Qualifications

 4–7 years of hands-on experience with C#, .NET Core/.NET, ASP.NET, and Web APIs.

 Strong experience with SQL Server and T-SQL.

 Experience with Azure services and Azure DevOps.

 Proficiency with Git, REST APIs, and object-oriented design principles.

 Experience working in Agile/Scrum environments.

 Strong analytical, communication, and problem-solving skills.

Preferred Skills

 Experience with microservices, Azure Functions, Docker, or Kubernetes.

 Familiarity with React, Angular, or Blazor is a plus.

Education: Bachelor's degree in Computer Science, Engineering, or a related field (or

equivalent experience).

Data Scientist – Machine Learning & Applied Analytics. 

Location: Bengaluru 

Experience: 5–8 Years 

Role Type: Full-Time 

Business Unit: Products & Platforms (PMG) 

Role Overview 

We are looking for a Data Scientist – Product Analytics & Machine Learning to help build differentiated analytics and ML capabilities across our product and platform portfolio, including MOBIUS+ and Signate. 

This is a hands-on product-focused role responsible for translating real-world customer and domain problems into scalable analytics and machine learning solutions. The role will work across the complete lifecycle — from data exploration and experimentation through model development, validation, productization and production monitoring. 

The Data Scientist will also work closely with Tata Elxsi's internal analytics teams, specialist solution providers and academic/research institutions to evaluate, integrate and evolve analytical capabilities as part of our products. 

Key Responsibilities 

Product Analytics & ML 

• Translate product and customer problems into well-defined analytics and ML use cases. 
• Perform data exploration, feature engineering, statistical analysis and experimentation. 
• Develop, train, validate and optimize machine learning and predictive models. 
• Define appropriate model performance metrics, benchmarks and acceptance criteria. 
• Convert prototypes and experiments into scalable, production-ready capabilities. 
• Work with Product, Architecture and Engineering teams to integrate models and analytics into SaaS products and platforms. 

Model Evaluation & Productization 

• Evaluate models and analytical solutions developed by internal teams, technology partners and specialist solution providers. 
• Assess model assumptions, data requirements, accuracy, robustness, explainability and limitations. 
• Benchmark alternative models/approaches and provide evidence-based recommendations. 
• Establish practices for model versioning, validation, monitoring, drift detection and continuous improvement. 
• Ensure that externally sourced models can be effectively integrated, governed and evolved within the product. 

Collaboration & Research 

• Collaborate with Tata Elxsi's broader AI, analytics and domain teams and leverage specialist capabilities where required. 
• Work technically with external solution providers to understand and integrate their algorithms and models. 
• Engage with researchers and academic institutions such as IITs, NITs and IISc on advanced analytics and ML opportunities. 
• Evaluate research, algorithms and PoCs and help translate promising approaches into production-grade product capabilities. 
• Build reusable analytical assets, datasets, features, evaluation frameworks and know-how across the product portfolio. 

Technical Skills 

• Strong foundation in statistics, probability, machine learning and data analysis. 
• Strong hands-on programming skills in Python and common data science libraries. 
• Experience with Pandas, NumPy, scikit-learn and relevant ML frameworks. 
• Experience developing predictive models using structured and time-series data. 
• Understanding of supervised/unsupervised learning, anomaly detection, forecasting, classification and regression techniques. 
• Experience with feature engineering, model selection, hyperparameter optimization and model evaluation. 
• Good understanding of model explainability, bias, uncertainty and robustness. 
• Working knowledge of SQL and large-scale data processing. 
• Experience deploying or integrating ML models into production applications through APIs, services or ML pipelines. 
• Understanding of MLOps, including model versioning, experiment tracking, monitoring and model lifecycle management. 
• Experience with cloud environments, preferably AWS, is desirable. 
• Exposure to GenAI/LLMs and their application within product analytics is an advantage. 

Product & Engineering Mindset 

• Ability to move beyond experimentation and think about how analytics becomes a repeatable product capability. 
• Strong problem-solving ability and comfort working with incomplete or imperfect real-world datasets. 
• Ability to distinguish between an interesting analytical result and one that creates measurable customer/product value. 
• Comfortable working closely with Product Managers, Domain SMEs, Architects and Software Engineers. 
• Ability to critically evaluate third-party algorithms and models rather than treating external solutions as black boxes. 
• Strong technical communication skills and ability to explain analytical concepts and model outcomes to both technical and business stakeholders. 

Preferred Experience 

• 5–8 years of relevant experience in Data Science, Machine Learning, Applied Analytics or related roles. 
• Experience building ML/analytics capabilities that have been deployed into production products or platforms. 
• Experience working with automotive, mobility, connected vehicle, battery/EV, IoT or industrial datasets is desirable but not mandatory. 
• Experience collaborating with technology partners, research organizations or academic institutions is an advantage. 
• Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or a related quantitative discipline preferred. 

What Success Looks Like 

The successful candidate will help PMG establish a strong internal Data Science & ML capability that can build differentiated analytics, intelligently leverage Tata Elxsi's broader capabilities and external specialists, and retain the knowledge and ownership required to continuously evolve analytics as a core part of our products and platforms. 

Automation Anywhere Developer

Experience: 4–7 Years

Work Mode: Remote

Ctc-6-8 lpa

Duration: 2 months + Extension

Type: Contract

Payroll: Candidates will be on your payroll

Job Summary

We are looking for an experienced Automation Anywhere Developer with 4–7 years of experience in Robotic Process Automation (RPA) to design, develop, implement, and maintain automation solutions. The ideal candidate should have strong hands-on experience with Automation Anywhere, process automation, bot development, and troubleshooting.

Key Responsibilities

- Design, develop, test, and deploy RPA bots using Automation Anywhere.

- Analyze business processes and identify opportunities for automation.

- Develop reusable, scalable, and efficient automation workflows.

- Work with business stakeholders to gather requirements and prepare technical documentation.

- Integrate RPA solutions with enterprise applications, databases, APIs, web applications, and Excel.

- Monitor bot performance, troubleshoot issues, and implement enhancements.

- Follow automation development standards, security guidelines, and best practices.

- Collaborate with business analysts, QA teams, and other developers to ensure successful delivery.

Required Skills

- 4–7 years of hands-on experience in RPA development.

- Strong expertise in Automation Anywhere, preferably Automation 360.

- Experience in bot development, debugging, exception handling, and scheduling.

- Knowledge of Excel automation, database operations, and application integration.

- Experience with REST APIs, SQL, web applications, and Windows-based applications.

- Understanding of queues, credential management, reusable components, and bot deployment.

- Strong analytical, problem-solving, and communication skills.

Preferred Skills

- Experience with enterprise-scale RPA implementations.

- Knowledge of Control Room administration and bot lifecycle management.

- Experience with version control, production support, and automation documentation.

- Exposure to Agile development methodologies

Generalist Full Stack Developer

Company: Taylor & Francis

Location: Bellandur, Bengaluru

Work Mode: Hybrid – 3 days Work From Office

Experience: 5.5–10 years

Employment Type: Contract-to-Hire (C2H)

About the Role

We are hiring experienced Full Stack Developers who are passionate about hands-on coding and building end-to-end applications. Candidates should have strong frontend and backend development experience, along with AWS and SQL knowledge.

Key Responsibilities

• Develop and maintain frontend interfaces and backend services.
• Build reusable UI components and manage application state.
• Develop APIs and integrate databases.
• Work with AWS cloud services and deployment infrastructure.
• Write clean, scalable and maintainable code.
• Contribute to technical decisions and application architecture.
• Take ownership of end-to-end development and troubleshooting.

Required Skills

• 5.5–10 years of relevant software development experience.
• Strong frontend experience with React.js or similar technologies.
• Backend development experience in Node.js (preferred), Java, Python or Golang.
• Hands-on experience with AWS and SQL.
• Good understanding of UI state management and performance optimization.
• Experience with Terraform or other Infrastructure as Code tools is an advantage.
• Strong coding and problem-solving skills.

Hiring Model

This is a Contract-to-Hire opportunity. Candidates will initially be employed on Geektrust Labs' payroll for 6–8 months, with a potential transition to Taylor & Francis' payroll based on performance and the conversion process.

Joining Requirement

Candidates must be available to join within 20 days, including those serving notice with a confirmed last working day within this period.

Interview Process

1. Technical interview with Geektrust.
2. Technical interview with Taylor & Francis.
3. Further technical round with Taylor & Francis.
4. HR discussion and offer process through Geektrust.

Interested candidates: Please apply with your updated resume.

Experience: 7–10+ years | Industry Preference: Financial Services / BFSI

Role Overview

We are seeking a Senior Reporting Analyst / Business Intelligence Lead to own and drive

enterprise reporting, analytics, and data insights across the organization. This is a senior,

hands-on role requiring deep technical expertise across the Microsoft data and BI stack,

strong business acumen, and the ability to operate with minimal hand-holding. The ideal

candidate will act as a bridge between business leadership and technical teams, translating

complex business questions into scalable, reliable data models and executive-ready insights.

Key Responsibilities

 Serve as the primary owner of enterprise reporting and BI solutions, from data

ingestion through executive dashboards.

 Design, build, and maintain scalable Power BI / Microsoft Fabric semantic models using

STAR schema best practices.

 Partner closely with business stakeholders and C-level executives to define KPIs,

metrics, and reporting requirements.

 Lead and present weekly reporting and insights sessions with senior and executive

leadership.

 Ensure data accuracy, consistency, and trust across all reports and analytics outputs.

 Proactively identify data quality issues, root causes, and remediation strategies.

 Drive automation of reporting, alerts, and data refresh processes to reduce manual

effort.

 Collaborate with engineering, data, and application teams to align business logic with

source system data structures.

 Mentor junior analysts and establish BI standards, best practices, and documentation.

Technical Skills – Data & Backend

 Advanced SQL: complex queries, views, stored procedures, and validation against

source systems (RDN, Recovery Connect).

 Azure Data Factory: build and manage copy pipelines from SQL sources to data

warehouses / dedicated pools.

 Incremental refresh, parameterized pipelines, and schema replication.

 Data warehouse design: STAR schema, fact vs dimension tables, handling deleted

records and SCDs.

Technical Skills – Reporting & Frontend

 Power BI / Microsoft Fabric: Power Query, DAX, and M language expertise.

 Semantic model design (1-to-many, 1-to-1, many-to-1 relationships).

 Query folding and performance optimization best practices.

 Paginated Report Builder (SSRS-style) for automated Excel and PDF reporting.

 Power Automate integration for alerts and workflow-driven notifications.

Data Quality & Analytics

 Ability to clean, normalize, and reconcile data across multiple systems.

 Strong troubleshooting skills when business definitions and data do not align.

 Translate business terminology into accurate technical mappings and calculations.

Communication & Leadership

 Serve as a key liaison between business stakeholders and technical teams.

 Comfortable working directly with C-level executives and senior leadership.

 Ability to lead executive-level meetings and clearly communicate insights.

 Self-starter mindset with minimal hand-holding.

Qualifications

 7–10+ years of experience in BI, analytics, or enterprise reporting roles.

 Preferred experience in financial services or regulated environments.

 Strong experience across the Microsoft BI ecosystem.

Preferred Certifications

 Microsoft PL-300 (Power BI Data Analyst)

 Microsoft DP-600 (Fabric Analytics Engineer)

 Microsoft DP-700 (Fabric Data Engineer)

What Success Looks Like

 Executive leadership trusts and relies on BI dashboards for decisions.

 Reporting is automated, accurate, and scalable.

 BI functions as a strategic partner to the business.

🚀 Job Title : Data Engineer – AWS, PySpark & Airflow

Experience : 5+ Years

Industry : Health Insurance / BFSI

Location : Sector 43, Gurugram, Haryana

Work Mode : Work From Office (5 Days a Week)

Employment Type : Full-Time

Role Overview :

We are looking for an experienced Data Engineer with strong hands-on expertise in AWS Data Engineering, Data Lake Architecture, Python, SQL, PySpark, and Apache Airflow.

The candidate will be responsible for designing, developing, and maintaining scalable, reliable, and high-performance data pipelines using AWS cloud technologies. The role involves building end-to-end ETL / ELT workflows, implementing data transformation and processing solutions, optimizing pipeline performance, and ensuring the reliability of production data systems.

Mandatory Skills :

AWS Data Engineering | Data Lake Architecture | Amazon S3 | AWS Glue | Amazon EMR | Athena | Redshift | Python | SQL | PySpark | Apache Spark | Apache Airflow | ETL/ELT | PostgreSQL | Data Modelling | Pipeline Optimization | Production Support | Root Cause Analysis

Key Responsibilities :

• Design, develop, and maintain end-to-end data pipelines for data ingestion, staging, transformation, curation, and consumption.
• Build and manage AWS-based data lake solutions using Amazon S3, AWS Glue, Amazon EMR, Athena, and Redshift.
• Develop, maintain, and optimize ETL / ELT pipelines using Python, SQL, Apache Spark, and PySpark.
• Implement and manage workflow orchestration using Apache Airflow, including scheduling, dependency management, retries, monitoring, and failure handling.
• Integrate data from multiple structured and semi-structured sources.
• Design and maintain data models, dimensional models, and analytical data marts.
• Work with relational databases, including PostgreSQL and Amazon RDS.
• Optimize Spark jobs, SQL queries, data transformations, and cloud resource utilization.
• Implement data quality checks, validation rules, and error-handling mechanisms.
• Monitor production data pipelines, troubleshoot failures, and perform root cause analysis (RCA).
• Ensure pipeline reliability, scalability, performance, and compliance with service-level agreements (SLAs).
• Follow data security, access management, governance, and sensitive-data protection best practices.
• Collaborate with business, analytics, and application teams to deliver effective data solutions.
• Maintain technical documentation and follow established data engineering standards.

Required Technical Skills :

• AWS Data Engineering : Strong hands-on experience with AWS-based data engineering and data lake architecture.
• AWS Services : Amazon S3, AWS Glue, Glue Data Catalog, Amazon EMR, Athena, Redshift, AWS Lambda, and IAM.
• Programming : Strong proficiency in Python and SQL.
• Big Data Processing : Hands-on experience with Apache Spark and PySpark.
• Workflow Orchestration : Experience developing and managing workflows using Apache Airflow.
• ETL/ELT Development : Experience building scalable data ingestion, transformation, and processing pipelines.
• Database Technologies : Good understanding of relational databases and PostgreSQL concepts.
• Data Modelling : Experience with data modelling, data transformation, and analytical data structures.
• Production Support : Ability to monitor pipelines, troubleshoot failures, perform RCA, and resolve production issues.
• Performance Optimization : Experience optimizing SQL queries, Spark jobs, and data processing workflows.

Good-to-Have Skills :

• Experience with AWS Database Migration Service (DMS) and Amazon RDS.
• Familiarity with dbt for data transformation and modelling.
• Knowledge of Delta Lake, Apache Iceberg, or Apache Hudi.
• Exposure to Apache Kafka and real-time data streaming.
• Familiarity with GraphQL, Hasura, or similar data-serving technologies.
• Understanding of data governance and data quality frameworks.
• Experience in the BFSI, healthcare, or health insurance domain.

Candidate Requirements :

• 5+ years of relevant experience in Data Engineering.
• Proven hands-on experience building and maintaining production-grade data pipelines on AWS.
• Strong understanding of data lake architecture and large-scale data processing.
• Practical experience with Apache Airflow and Spark / PySpark-based transformations.
• Strong programming, analytical, debugging, and problem-solving skills.
• Experience handling production incidents, pipeline failures, and performance bottlenecks.
• Ability to take ownership of deliverables and work effectively with cross-functional teams.
• Good communication, collaboration, and technical documentation skills.
• Willingness to work from the Gurugram office five days a week.

Ideal Candidate :

The ideal candidate is a hands-on Data Engineer who can independently build, optimize, and maintain AWS-based data pipelines, work with large datasets using PySpark, orchestrate workflows through Airflow, and resolve production issues in a business-critical environment.

About the role

We are hiring a Principal Engineer to own the hardest technical problems in our product and see them through from first sketch to stable production. You will set technical direction, design systems that scale, and raise the engineering bar through your own work and the people around you. This is a hands-on leadership role: you write code, review designs, and ship.

What will you do?

You will own outcomes, not just tasks. Expect to spend your time on the following.

• Own projects end to end. Take an ambiguous problem, shape the requirements, design the solution, break down the work, deliver it to production, and stay accountable for how it runs afterwards.

• Lead system design. Author and review architecture for services, data pipelines and integrations, with clear trade-offs on scale, latency, cost, consistency and reliability.

• Write and review critical code. Build the hardest components yourself, and set standards for code quality, testing and maintainability through code and design reviews.

• Own deployment and operations. Design CI/CD, infrastructure and release strategies. Drive observability, on-call readiness, incident response and post-incident learning.

• Solve hard problems. Debug production issues across the stack, and find root causes in performance, concurrency, data and scaling problems.

• Mentor and multiply. Coach senior and junior engineers, grow future tech leads, and make the whole team faster and more confident.

• Partner across functions. Work with product, design, data and business teams to turn goals into technical plans, and to say no or reshape scope when needed.

• Shape technical strategy. Guide build-versus-buy decisions, manage tech debt, evaluate new technologies, and contribute to the engineering roadmap.

• Raise the bar. Help define engineering practices, hiring standards and culture, and take part in interviewing.

What are we looking for?

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Core engineering

• 10+ years of professional software engineering, with a track record of shipping and running production systems.

• Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, databases and concurrency.

• Fluency in at least one major backend language (for example Python, Go, Java, or Node.js/ TypeScript) and the ability to pick up others quickly.

• Deep knowledge of relational and NoSQL data stores: schema design, indexing, transactions, query tuning and replication.

System design and problem solving

• Proven ability to design distributed systems that are scalable, fault tolerant and cost aware, and to explain the trade-offs clearly.

• Experience with APIs, event-driven and asynchronous architectures, queues, caching and service-to-service communication.

• A structured approach to ambiguous problems: break them down, test assumptions, decide with incomplete data, and measure results.

• Strong debugging instincts, including performance profiling and production troubleshooting.

Delivery and operations

• Have led at least two significant projects from inception to production, including planning, milestones, risk management and launch.

• Hands-on experience with deployment: CI/CD pipelines, containers (Docker, Kubernetes), a major cloud (AWS, GCP or Azure), and infrastructure as code.

• Practical experience with monitoring, logging, alerting, SLOs and incident management.

• Habit of writing tests and automation, and of leaving systems more reliable than you found them.

Leadership and communication

• Experience leading engineers without formal authority, through influence, mentoring and clear technical writing.

• Excellent written and verbal communication: design docs, RFCs and concise updates to non-technical stakeholders.

• Ownership mindset, sound judgment on priorities, and comfort working in a fast-moving environment.

Nice to have

• Experience in fintech, lending or another regulated, data-heavy domain.

• Exposure to AI/ML or LLM-based systems in production: model serving, evaluation, retrieval, and cost and latency management.

• Deep experience with data engineering: streaming, batch pipelines, warehouses or search systems.

• Security and compliance awareness: authentication, encryption, audit trails, secure SDLC.

• Experience with multi-tenant SaaS, high-throughput systems or zero downtime migrations.

• Open-source contributions, conference talks, or technical writing.

• Experience scaling an engineering team or helping set up hiring and onboarding practices.

Strong Data Analyst Profile with Python, SQL, and data-pipeline expertise, ideally with retail / e-commerce datasets

2

Mandatory (Experience 1): Must have 4+ years of hands-on data-analyst experience, working with large datasets across areas such as sales, inventory, pricing, promotions, and customer behaviour.

3

Mandatory (Tech skill 1): Must have strong hands-on Python for data processing, transformation, automation, and analysis

4

Mandatory (Tech skill 2): Must have strong SQL skills, including complex queries, joins, aggregations, and data validation.

5

Mandatory (Tech skill 3): Must have a solid understanding of Data Lake architecture, ingestion, storage, and processing workflows

6

Mandatory (Tech skill 4): Must have hands-on experience with ETL / ELT pipelines, data integration, and transformation

7

Mandatory (Tech skill 5): Must have experience with Azure or GCP data services.

8

Mandatory (Tech skill 6): Must have understanding of or experience with Databricks and distributed data processing.

9

Mandatory (Tech skill 7): Must have knowledge of data modeling, data warehousing, and Lakehouse architecture

10

Mandatory (Tech skill 8): Must have experience with Power BI, Tableau, or Excel for reporting.

11

Mandatory (Communication): Must have strong analytical, documentation, and stakeholder-communication skills.

12

Mandatory (Education): Must hold a Bachelor’s degree in Computer Science, IT, Engineering, or a related field.

13

Mandatory (Note1): This is a 6-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

Job Summary:

We are looking for an experienced Application Support & Observability Engineer with strong expertise in L2 Application Support, Linux, SQL, ITIL processes, and shell scripting. The candidate should have hands-on experience with monitoring and observability tools, production troubleshooting, deployment activities, and job scheduling. Banking domain experience is mandatory.

Primary Skills:

• L2 Application Support / Production Support
• Linux Administration and Troubleshooting
• SQL
• ITIL Processes and Incident Management
• Shell Scripting and Automation
• Observability and Monitoring Tools: Grafana, Datadog, Prometheus, Control-M
• Production Troubleshooting and Root Cause Analysis
• Deployment Support and Job Scheduling
• Middleware Technologies: Apache, Tomcat

Job Responsibilities:

• Provide L2 application and production support for banking applications.
• Monitor application performance, system health, and production environments using observability tools.
• Troubleshoot application, Linux, database, and production-related issues and ensure timely resolution.
• Perform log analysis, incident investigation, and root cause analysis.
• Work with monitoring tools such as Grafana, Datadog, Prometheus, and Control-M to identify and resolve issues.
• Execute deployment activities and support release management.
• Monitor and manage scheduled jobs and batch processes using job scheduling tools.
• Develop and maintain shell scripts to automate routine operational tasks.
• Support middleware technologies such as Apache and Tomcat.
• Follow ITIL processes for incident, problem, and change management.
• Coordinate with application, infrastructure, and development teams to maintain system availability and stability.
• Ensure adherence to SLAs and provide effective communication during production incidents.

Required Skills:

• 5–6 years of relevant experience in Application Support and Observability.
• Strong hands-on experience in L2 Production Support.
• Good knowledge of Linux, SQL, ITIL, and Shell Scripting.
• Experience with one or more monitoring tools such as Grafana, Datadog, Prometheus, or Control-M.
• Experience in troubleshooting, deployment support, and job scheduling.
• Knowledge of Apache and Tomcat middleware.
• Banking domain experience is mandatory.
• Excellent verbal and written communication skills.

GCP Data engineer

Exp 9+yrs

Bangalore/Hyderabad

Lead exp+ Python + pyspark + sql or plsql

immediate to 15days joiners

Call or WhatsApp: 6 3 8 5 0 7 6 1 4 2

Laravel Developer – Education ERP

Experience: 2 years

Work Mode: Permanent Work From Home

Job Summary

We are looking for an experienced Laravel Developer with strong expertise in Core PHP, Laravel, and MySQL to develop, maintain, and optimize scalable Education ERP applications.

Key Responsibilities

• Develop and maintain ERP modules such as HRMS, Admissions, Fees, Examinations, LMS, Inventory, and Finance.
• Write clean, secure, and efficient code using Laravel and Core PHP.
• Design and optimize MySQL databases, complex SQL queries, and bulk data processing.
• Develop and integrate REST APIs and third-party services.
• Troubleshoot bugs and optimize application performance.
• Collaborate with the team to deliver scalable and reliable ERP solutions.

Required Skills

• Strong knowledge of Laravel, Core PHP, and MySQL.
• Experience with MVC architecture, Eloquent ORM, CRUD operations, and REST APIs.
• Good understanding of SQL joins, database optimization, HTML, CSS, JavaScript, and jQuery.
• Familiarity with Git/GitHub and web application security.

Preferred Experience

• Experience developing Education ERP or university management software.
• Knowledge of HRMS, Fees, Admissions, Examinations, and LMS modules.
• Experience handling large datasets and enterprise applications.

TEAM LEAD – BACKEND / FULL STACK ENGINEER (FINTECH)

Impacto Digifin Technologies Pvt. Ltd.

Bangalore (Brookefield) | Work from Office | Full-Time

Job Location

Bangalore (Brookefield) – Work from Office

Experience

3–5 Years

Employment Type

Full-Time

Department

Engineering / Product Development

Document Date

21 October 2026

Role Overview

We are hiring a hands-on Team Lead to design, build, and run the backend of our digital banking and payments products. You will lead a small team building Java and Spring Boot microservices, Apache Kafka event pipelines, and PostgreSQL data models that move real money for banks and their customers.

The role is backend-first, with full stack ownership: you will also guide ReactJS and Next.js frontends that sit on top of these services. You will own the full lifecycle, from requirement analysis and system design to production deployment, monitoring, and 24x7 support.

We want someone who treats correctness, auditability, and uptime as product features.

Key Responsibilities

A. Backend and Microservices Development

·   Design and build scalable, high-performance backend services using Java and Spring Boot.

·   Design and implement RESTful APIs, microservices, and third-party integrations with clear, versioned API contracts.

·   Implement authentication, authorization, input validation, and secure coding practices across all services.

·   Write clean, maintainable, and testable code, backed by unit, integration, and API tests.

B. Event-Driven Architecture with Apache Kafka

·   Build and maintain event-driven systems using Kafka producers, consumers, and Kafka Streams.

·   Design event schemas, topics, partitioning, and retention to match business flows.

·   Ensure exactly-once or idempotent processing so no event is lost or applied twice.

·   Handle retries, dead-letter topics, consumer lag, and replay for failed or delayed events.

·   Apply patterns such as Outbox, Saga, event sourcing, and CQRS where they fit.

C. PostgreSQL Data Design and Management

·   Design normalized, transactional data models in PostgreSQL for accounts, ledgers, payments, and customers.

·   Use ACID transactions, appropriate isolation levels, and row-level locking to keep balances correct under concurrent load.

·   Tune queries, indexes, partitioning, and connection pooling for high-volume tables.

·   Manage schema changes safely with versioned migrations (Flyway or Liquibase) and zero-downtime deployment.

·   Plan data archival, backup, point-in-time recovery, and read replicas for reporting.

D. Full Stack Ownership

·   Guide and contribute to responsive web applications built with ReactJS, Next.js, and TypeScript.

·   Integrate frontend applications with backend services and keep API contracts in sync.

·   Optimize end-to-end performance, responsiveness, and reliability.

E. Team Leadership

·   Lead, mentor, and support developers in daily technical work.

·   Break business requirements into technical specifications, tasks, and delivery plans.

·   Assign work, track progress, and deliver milestones on time.

·   Run code reviews, architecture discussions, and technical design reviews.

·   Participate in sprint planning, stand-ups, reviews, and retrospectives.

·   Coordinate with Product, QA, UI/UX, DevOps, Business, and Management teams.

·   Support technical interviews, onboarding, and knowledge sharing.

F. Deployment and Production Support

·   Use Git-based workflows, Docker, and CI/CD pipelines for builds and releases.

·   Own production health: troubleshoot incidents, fix performance bottlenecks, and lead root-cause analysis.

·   Maintain technical documentation, runbooks, and deployment procedures.

G. AI-Assisted Development

·   Use AI coding tools such as ChatGPT, Claude, GitHub Copilot, or Cursor for code, tests, debugging, and documentation.

·   Review and validate all AI-generated output before it reaches production.

Designing and Maintaining Banking Products

Designing Banking Products

·   Ledger-first design: build double-entry ledgers in PostgreSQL where every debit has a matching credit and balances can always be rebuilt from entries.

·   Transaction integrity: use idempotency keys, unique transaction references, and state machines so a request retried by a customer, bank, or network never posts twice.

·   Payment flows: design end-to-end flows for UPI, IMPS, NEFT, RTGS, and card or wallet payments, including timeouts, pending states, reversals, and refunds.

·   Distributed consistency: keep data consistent across microservices with Outbox, Saga, and compensating transactions instead of distributed locks.

·   Core banking integration: integrate with core banking systems such as Oracle FLEXCUBE or Finacle, NPCI and switch interfaces, and partner bank APIs.

·   Product configuration: model savings and current accounts, loans, deposits, and wallets so limits, charges, interest, and rules are configuration rather than code changes.

·   Customer lifecycle: support onboarding, KYC and e-KYC, account servicing, and closure with clear status tracking.

·   Security by design: encrypt sensitive data at rest and in transit, mask PII in logs, manage keys through HSM or a vault, and apply least-privilege access.

·   Regulatory compliance: build to RBI guidelines, including data localization, audit trails, and NPCI operating rules, and align with PCI DSS where card data is involved.

·   Controls: implement maker-checker approvals, transaction limits, velocity checks, and hooks for fraud and AML monitoring.

Maintaining Banking Products in Production

·   Reconciliation: run daily automated reconciliation between internal ledgers, partner banks, NPCI, and settlement files, and resolve mismatches within agreed timelines.

·   Settlement and batch jobs: own end-of-day and beginning-of-day processes, interest accrual, charges, and settlement runs, and make them safe to re-run.

·   High availability: design for 24x7 uptime with no single point of failure, graceful degradation, and defined RPO and RTO for disaster recovery.

·   Observability: track business and technical metrics such as transaction success rate, latency, and consumer lag in Prometheus and Grafana, with alerts before customers notice.

·   Incident management: lead incident response, customer-impact assessment, root-cause analysis, and post-incident fixes for failed or stuck transactions.

·   Safe change management: release through feature flags, canary or blue-green deployments, and backward-compatible APIs and schemas, with tested rollback plans.

·   Audit and reporting: keep immutable audit logs and support regulatory reports, internal audits, and data requests from banks and regulators.

·   Continuous improvement: track defects, performance, and technical debt, and plan regular upgrades of frameworks, libraries, and security patches.

Required Skills and Qualifications

Candidates must have hands-on experience in the following areas:

·   Backend: strong Java (Core Java, Java 17+), Spring Boot, Spring MVC, Spring Data JPA, and Spring Security.

·   Messaging: Apache Kafka, including producers, consumers, Kafka Streams, event design, partitioning, and offset management.

·   Database: strong SQL and PostgreSQL, including data modeling, transactions, isolation levels, indexing, and query tuning.

·   Architecture: microservices, distributed systems, event-driven design, OOP, and design patterns.

·   APIs: designing and documenting RESTful APIs with JSON and OpenAPI/Swagger.

·   Frontend: working knowledge of ReactJS, Next.js, JavaScript (ES6+), and TypeScript.

·   DevOps: Docker, Git (GitHub or GitLab), and CI/CD pipelines.

·   Testing: unit and integration testing with JUnit and Mockito, plus debugging and code review.

·   Leadership: experience guiding developers, reviewing code, planning tasks, and owning delivery.

·   Problem solving: strong debugging skills for production issues in distributed systems.

Mandatory Screening Requirement: Candidates must have strong backend experience in Java, Spring Boot, Kafka, and PostgreSQL, plus working frontend knowledge in ReactJS or Next.js. Frontend-only profiles will not meet the core requirement.

Good to Have

·   Payments domain: experience with UPI, IMPS, NEFT, RTGS, NPCI integrations, or card and wallet systems is highly preferred.

·   Message-driven patterns: event sourcing, CQRS, Saga, and Outbox.

·   Performance: experience building high-throughput, low-latency systems, such as payments or UPI switches.

·   Spring ecosystem: Spring Cloud, Spring Batch, Spring WebFlux, and Spring Integration.

·   Security: OAuth 2.0, JWT, OpenID Connect, encryption, key management, and OWASP practices.

·   Data and caching: Redis, PostgreSQL replication and partitioning, and Oracle Database or Oracle FLEXCUBE exposure.

·   Cloud and orchestration: Kubernetes, Jenkins or GitHub Actions, and AWS, Azure, or GCP.

·   Monitoring and quality: Prometheus, Grafana, ELK Stack, OpenTelemetry, and SonarQube.

·   Compliance: working knowledge of RBI guidelines, PCI DSS, and audit requirements.

·   Ways of working: experience in Agile/Scrum teams.

Preferred Domain Experience

·   Banking, Financial Services and FinTech.

·   Digital payments, lending, or core banking platforms.

·   Enterprise integrations and digital transformation projects.