11+ Engineering analysis Jobs in Bangalore (Bengaluru) | Engineering analysis Job openings in Bangalore (Bengaluru)

Job Title : Analytics Engineer

Experience : 6+ Years

Location : Gurgaon | Bangalore | Ahmedabad | Chennai

Work Mode : Work From Office

Employment Type : Contract (6 Months)

About the Role :

We are looking for an experienced Analytics Engineer to design, develop, and optimize scalable data models and analytics solutions that drive business decision-making. The ideal candidate should have strong expertise in SQL, dbt, data modeling, data quality, and modern analytics engineering practices.

Mandatory Skills :

SQL, dbt, Data Modeling, Data Warehousing, ETL/ELT, Query Optimization, Data Quality, Git, CI/CD, Analytics Engineering, Data Transformation, Data Governance, Stakeholder Management.

Key Responsibilities :

• Design and maintain scalable data warehouse models, data marts, and analytical datasets.
• Build and optimize data transformation pipelines using SQL and dbt.
• Develop high-performance SQL queries using CTEs, Window Functions, Complex Joins, and Analytical Functions.
• Implement data quality checks, testing frameworks, and governance best practices.
• Manage end-to-end analytics development lifecycle, from requirement gathering to deployment.
• Work with Git, CI/CD pipelines, and version control best practices.
• Collaborate with business and technical stakeholders to deliver reliable analytics solutions.
• Troubleshoot and optimize data pipelines, models, and query performance.

Required Skills :

• 6+ years of experience in Analytics Engineering, Data Engineering, or related roles.
• Strong expertise in SQL and query performance optimization.
• Hands-on experience with dbt (Data Build Tool).
• Strong understanding of data modeling and data warehousing concepts.
• Experience with Git, CI/CD, and software development best practices.
• Knowledge of data quality frameworks, testing, and validation techniques.
• Ability to independently manage design, development, testing, documentation, and deployment.

Preferred Skills :

• Experience with cloud-based data platforms.
• Exposure to orchestration and scheduling tools.
• Understanding of data governance and compliance frameworks.
• Experience in performance tuning and cost optimization.
• Prior mentoring or technical leadership experience.

What We're Looking For :

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Passion for building scalable, reliable, and high-quality analytics solutions.

Role Overview

We are looking for a Junior AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations.

This role offers an opportunity to work closely with experienced engineers, product teams, and AI specialists on real AI-powered systems that support learners, educators, schools, and internal business operations.

At GoSuper EdTech, our cloud infrastructure is built on Google Cloud Platform — GCP. You will get hands-on exposure to GCP-based systems, backend services, AI integrations, deployment workflows, monitoring, cloud storage, databases, and automation pipelines.

You will help design, integrate, test, monitor, and maintain AI-enabled systems using modern tools such as AI APIs, LLMs, automation workflows, backend services, databases, GCP services, cloud deployment tools, and monitoring systems.

This role is ideal if you are curious about AI, comfortable with technical problem-solving, and interested in building reliable systems that connect software, data, cloud infrastructure, automation, and intelligent workflows.

What You’ll Do

• Support the development and maintenance of AI-powered systems, tools, and workflows.
• Assist in integrating AI APIs, LLM platforms, automation tools, and backend services into GoSuper products.
• Work with OpenAI, Gemini, Claude, or similar AI platforms under the guidance of senior engineers.
• Support AI and backend workflows deployed on Google Cloud Platform — GCP.
• Assist with GCP-based services such as Cloud Run, Compute Engine, Cloud Functions, Cloud Storage, Firebase, Firestore, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, and Cloud Monitoring, based on project needs.
• Help build AI workflows for content generation, chatbot systems, smart recommendations, internal automation, and productivity tools.
• Support backend integrations using Node.js, Python, REST APIs, webhooks, and third-party services.
• Assist in designing and maintaining system workflows that connect databases, applications, AI models, cloud services, and business tools.
• Work with databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or similar platforms.
• Help test AI outputs, validate workflows, debug issues, and improve system reliability.
• Monitor system performance, API usage, errors, logs, workflow failures, and cloud service health.
• Support deployment, configuration, and maintenance of AI-enabled product features on GCP.
• Collaborate with product managers, developers, designers, QA teams, and business teams to understand requirements and deliver working solutions.
• Participate in daily standups, sprint planning, technical discussions, and team meetings.
• Document AI workflows, system logic, API integrations, prompts, GCP configurations, deployment steps, and troubleshooting processes.
• Continuously learn and apply best practices in AI systems, backend engineering, automation, GCP cloud infrastructure, and production support.

What We’re Looking For

• 6 months to 1 year of experience in AI systems, backend development, software engineering, automation, DevOps support, cloud support, system integration, or relevant internship/project experience.
• Basic understanding of AI tools, LLMs, APIs, automation workflows, and software systems.
• Working knowledge of JavaScript, TypeScript, or Python.
• Basic backend development experience with Node.js, Express, NestJS, FastAPI, or similar frameworks.
• Basic understanding of Google Cloud Platform — GCP or willingness to learn GCP-based deployment and monitoring workflows.
• Understanding of REST APIs, webhooks, third-party integrations, and data flow between systems.
• Interest in AI APIs, prompt workflows, chatbot systems, automation tools, and intelligent product features.
• Basic understanding of databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or Redis.
• Ability to debug technical issues across APIs, workflows, logs, backend services, and cloud deployments.
• Good analytical thinking and problem-solving ability.
• Ability to write clear documentation for workflows, integrations, cloud configurations, and technical processes.
• Eagerness to learn new tools, AI platforms, system design concepts, GCP services, and cloud technologies.
• Good communication skills to work with technical and non-technical teams.
• Ownership mindset and willingness to take responsibility for assigned tasks.
• Comfortable working in a fast-paced startup environment.

Nice to Have

• Familiarity with AI APIs such as OpenAI, Gemini, Claude, or similar platforms.
• Basic understanding of prompt engineering and LLM-based workflows.
• Exposure to LangChain, LlamaIndex, embeddings, vector databases, or retrieval-augmented generation.
• Basic experience with GCP services such as Cloud Run, Cloud Functions, Firebase, Firestore, Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, or Cloud Monitoring.
• Exposure to Google AI tools, Vertex AI, Gemini API, or AI-related services on GCP.
• Experience with automation tools, workflow builders, webhooks, or integration platforms.
• Exposure to Docker, CI/CD pipelines, GitHub Actions, deployment workflows, or cloud-based release processes.
• Experience working with logs, monitoring tools, API testing tools, or debugging platforms.
• Familiarity with Postman, Git, GitHub, Notion, Zoho, Slack, or similar productivity tools.
• Experience building chatbots, AI assistants, internal tools, or automated workflows.
• Personal, academic, internship, or open-source projects related to AI, automation, backend systems, GCP, or cloud tools.
• Interest in SaaS, EdTech, AI-powered products, and startup environments.

What You’ll Gain

• Hands-on experience building AI-powered systems in a real startup environment.
• Practical exposure to AI APIs, LLM workflows, automation systems, backend services, and GCP cloud infrastructure.
• Mentorship from senior engineers and product leaders.
• Experience working across AI, backend engineering, databases, APIs, integrations, deployment, system monitoring, and cloud operations.
• Opportunity to contribute to real product features used by learners, educators, schools, and institutions.
• Exposure to SaaS product development, EdTech workflows, AI-driven business solutions, and GCP-based production systems.
• Learning culture that encourages experimentation, feedback, and continuous improvement.
• Opportunity to understand how AI systems are designed, deployed, monitored, scaled, and improved in production.
• Access to Cult Elite and Cult Play Pass, offering wellness and lifestyle benefits to keep you energized and inspired.

Compensation

• Competitive salary with performance-based bonuses.
• Equity ownership through ESOPs — own a piece of the company you help build.
• Flexible remote work options with occasional Bengaluru office meetups.
• Health and wellness perks, including Cult Elite membership and Cult Play Pass for employees.
• Learning and development support to help you grow in AI systems, backend engineering, automation, SaaS, and GCP cloud technologies.
• Team retreats, virtual hangouts, and a collaborative work culture.

We are looking for a AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations. Apply in https://gosuperedtech.com/career/ai-system-engineer

Responsibilities

• Perform detailed QC of 2D engineering drawings with a strong focus on accuracy, standards, and manufacturability.
• Validate dimensions, tolerances, GD&T symbols, views, callouts, and BOM elements.
• Cross-check drawings against 3D CAD models and identify mismatches.
• Flag design or annotation errors and guide drafters on corrective actions.
• Ensure compliance with ASME/ISO standards and internal guidelines.
• Develop and refine QC checklists, SOPs, and quality frameworks.
• Collaborate with design, drafting, and automation teams to improve quality.
• Maintain QC reports and drive continuous improvement.
• Mentor junior engineers.

Must-Have Skills

• Diploma/B.E./B.Tech in Mechanical or Production Engineering.
• 5–12 years of experience reviewing mechanical drawings in manufacturing, aerospace, automotive, tooling, or precision engineering.
• Strong command of GD&T (ASME Y14.5) and engineering drawing standards.
• Ability to interpret 3D CAD models in SolidWorks/Creo/NX or similar tools.
• Exceptional attention to detail with high accuracy.
• Strong communication and documentation skills.
• Worked with Plastic components and parts
• ASME Certified with strength in GD&T concepts.

Why Hanomi.ai?

Hanomi.ai is an AI-driven engineering automation platform that transforms how mechanical engineers move from design to production. Our technology generates production-ready 2D technical drawings directly from 3D CAD, cutting drafting time from hours to minutes. Hanomi supports native CAD output, GD&T automation, and seamless integration with existing PLM systems — helping teams ship tools faster while maintaining their engineering standards.

Backed by global investors and trusted by leading manufacturing innovators, our mission is simple: bridge the gap between design and manufacturing so engineers can focus on what truly matters — innovation.

If your code breaks here, it doesn’t just throw an error.

Jobs don’t get fulfilled. Farmers lose trust during crop windows that don’t wait.

We’re hiring a Software Development Engineer in Bangalore to build the systems that keep real-world operations running — from customer-facing products to the internal tools field teams depend on every morning.

→ Design, build, and ship across the stack: backend services, APIs, mobile/web field apps, and operational dashboards

→ Build systems for deployment, attendance, check-in/check-out, work verification, and issue resolution

→ Make products work in low-connectivity, field-heavy conditions with offline-first and vernacular-first experiences

→ Own features end to end — from design discussions to deployment to on-call

→ Work closely with Product, Ops, and field users to solve what’s actually happening on the ground

→ Contribute to data pipelines and analytics that power planning, forecasting, and unit economics

• 1–5 years building production software

• Comfortable across the stack, or deep in one area and ready to stretch

• Strong ownership mindset — you ship, debug production issues, and care if it works for the user

• Pragmatic with trade-offs and able to balance speed with quality

• Bonus if you’ve built for low-bandwidth, offline-first, next-billion-user contexts

Stack: Python, Django, React, PostgreSQL, Redis, AWS/GCP, Docker, CI/CD

You’ll be building software for the real economy — farmers, labour, livelihoods — not another dashboard for another SaaS tool.

📍 Bangalore (on-site) | Reporting to CTO

If this sounds like you — or someone you’d bet on — tag them in the comments or DM me.

#Hiring #SoftwareEngineer #BackendEngineer #FullStackDeveloper #BangaloreJobs #TechJobs

Data Engineer / Data Platform Engineer

This role is focused on Data Engineering, Pipeline Operations, and Platform Reliability. The candidate will be responsible for building, maintaining, monitoring, and optimizing large-scale data pipelines running on modern cloud-based data platforms.

Key Responsibilities

• Design, develop, and maintain data pipelines using Apache Spark and Apache Flink.
• Manage workflows and orchestration using Apache Airflow.
• Work with Databricks for large-scale data processing.
• Monitor production pipelines and ensure high availability and reliability.
• Troubleshoot pipeline failures and perform root cause analysis (RCA).
• Optimize Spark jobs and clusters for performance and cost efficiency.
• Build monitoring dashboards and alerts using Datadog, CloudWatch, or Prometheus.
• Collaborate with Data Engineering, BI, and Platform teams.
• Support incident management and production operations.
• Document processes and mentor junior engineers.

6-9 years’ work experience performing relevant engineering job functions preferably in the eCommerce space. ● 6+ years of Salesforce development experience with mastery of Apex programming, JavaScript, Visualforce, LWC, SOQL, SOSL, and Salesforce APIs. ● Proficient in the Salesforce platform, with substantial experience across a variety of Salesforce products, including OMS, OCI, Service Cloud, Marketing Cloud, Commerce Cloud, and Mulesoft. ● Understanding of data and system integration tools, methods and platforms ● Experience with Amazon Web Services (AWS), Java/Kotlin, Spring, Kafka, SQL, GitHub, CI/CD, Eclipse IDEs, and JavaScript/HTML/CSS is a plus. ● Exceptional problem solving and troubleshooting abilities. ● Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross functional teams and stakeholders. ● Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast paced environment. ● Bachelor's Degree in Computer Science, Information Technology, or a related field. A master's degree may be preferred. 

• 6+ years of experience with expertise in Django CMS, Python, REST framework, AI framework
• MySQL Db usage, SQL queries
• Experience in using scraping tools.
• Microservices
• Docker and Kubernetes hands-on experience
• AWS Redis cache integration
• Deployment on AWS cloud, auto-scale
• Work will be rotational Shifts/ UK Shift
• Must be flexible to work on weekends/stretch for some hours

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:

• Must have Skills: Node JS, Microservices architecture (MSA) (Capable),Javascript/Typescript, AWS S3/ LAMBDA/ EC2/DYNAMODB
• Cloud developer with a minimum of 6 years of experience Technical skills in most of the following areas
• Expert in developing REST Services and APIS using JavaScript, TypeScript NodeJS is a must 
• Implementing Serverless Software development using Amazon Lambda written in NodeJS is desirable.
• Services including AWS IoT, S3, RDS, IAM, Cognito, SNS, VPC, EBS, AWS Route 53, and Cloud Watch is a must
• Proficient in database concepts including schema design, querying, performance tuning, and debugging (Both SQL and No-SQL databases)
• Strong experience in designing and developing enterprise cloud-based IoT solutions using AWS
• Develop Web, APIs, IoT & Cloud based solutions is a must
• Ability to write automated unit test cases using mocking frameworks (Jasmine, Mocha, chai, Jest, etc.)
• Experience in modern data architectures (e.g. Micro Service, event-driven architectures, stream processing, and integrating real-time analytics into customer applications is desirable
• Have a good eye for NFRs (Scalability, extensibility, reliability, etc.) while evaluating design. should be able to Converts Solution Requirements into logical systems & subsystems
• Innovates and creates new ideas and have the ability to develop quick proof of concepts and validate with the customer.

RESPONSIBILITIES:

• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs
• Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.