11+ Database modeling Jobs in Hyderabad | Database modeling Job openings in Hyderabad

JOB DETAILS:

* Job Title: Lead II - Software Engineering - AWS, Apache Spark (PySpark/Scala), Apache Kafka

* Industry: Global digital transformation solutions provider

* Salary: Best in Industry

* Experience: 5-8 years

* Location: Hyderabad

Job Summary

We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The role involves working with large-scale batch and real-time data processing systems, collaborating with cross-functional teams, and ensuring data reliability, security, and performance across the data lifecycle.

Key Responsibilities

ETL Pipeline Development & Optimization

• Design, develop, and maintain complex end-to-end ETL pipelines for large-scale data ingestion and processing.
• Optimize data pipelines for performance, scalability, fault tolerance, and reliability.

Big Data Processing

• Develop and optimize batch and real-time data processing solutions using Apache Spark (PySpark/Scala) and Apache Kafka.
• Ensure fault-tolerant, scalable, and high-performance data processing systems.

Cloud Infrastructure Development

• Build and manage scalable, cloud-native data infrastructure on AWS.
• Design resilient and cost-efficient data pipelines adaptable to varying data volume and formats.

Real-Time & Batch Data Integration

• Enable seamless ingestion and processing of real-time streaming and batch data sources (e.g., AWS MSK).
• Ensure consistency, data quality, and a unified view across multiple data sources and formats.

Data Analysis & Insights

• Partner with business teams and data scientists to understand data requirements.
• Perform in-depth data analysis to identify trends, patterns, and anomalies.
• Deliver high-quality datasets and present actionable insights to stakeholders.

CI/CD & Automation

• Implement and maintain CI/CD pipelines using Jenkins or similar tools.
• Automate testing, deployment, and monitoring to ensure smooth production releases.

Data Security & Compliance

• Collaborate with security teams to ensure compliance with organizational and regulatory standards (e.g., GDPR, HIPAA).
• Implement data governance practices ensuring data integrity, security, and traceability.

Troubleshooting & Performance Tuning

• Identify and resolve performance bottlenecks in data pipelines.
• Apply best practices for monitoring, tuning, and optimizing data ingestion and storage.

Collaboration & Cross-Functional Work

• Work closely with engineers, data scientists, product managers, and business stakeholders.
• Participate in agile ceremonies, sprint planning, and architectural discussions.

Skills & Qualifications

Mandatory (Must-Have) Skills

1. AWS Expertise

• Hands-on experience with AWS Big Data services such as EMR, Managed Apache Airflow, Glue, S3, DMS, MSK, and EC2.
• Strong understanding of cloud-native data architectures.

1. Big Data Technologies

• Proficiency in PySpark or Scala Spark and SQL for large-scale data transformation and analysis.
• Experience with Apache Spark and Apache Kafka in production environments.

1. Data Frameworks

• Strong knowledge of Spark DataFrames and Datasets.

1. ETL Pipeline Development

• Proven experience in building scalable and reliable ETL pipelines for both batch and real-time data processing.

1. Database Modeling & Data Warehousing

• Expertise in designing scalable data models for OLAP and OLTP systems.

1. Data Analysis & Insights

• Ability to perform complex data analysis and extract actionable business insights.
• Strong analytical and problem-solving skills with a data-driven mindset.

1. CI/CD & Automation

• Basic to intermediate experience with CI/CD pipelines using Jenkins or similar tools.
• Familiarity with automated testing and deployment workflows.

Good-to-Have (Preferred) Skills

• Knowledge of Java for data processing applications.
• Experience with NoSQL databases (e.g., DynamoDB, Cassandra, MongoDB).
• Familiarity with data governance frameworks and compliance tooling.
• Experience with monitoring and observability tools such as AWS CloudWatch, Splunk, or Dynatrace.
• Exposure to cost optimization strategies for large-scale cloud data platforms.

Skills: big data, scala spark, apache spark, ETL pipeline development

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Hyderabad

Note: If a candidate is a short joiner, based in Hyderabad, and fits within the approved budget, we will proceed with an offer

F2F Interview: 14th Feb 2026

3 days in office, Hybrid model.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

About Nav Tech Electronics:

Founded on principles of Inclusiveness, Innovation and Empowerment, Nav Tech Electronics is a team of dedicated, diverse Software developers and Embedded Hardware Engineers. Nav tech Electronics has been providing Engineering services to the Automotive Industry in the fields of ADAS, Electrification and Battery Management, which are both driving rapid changes in Vehicle Architecture and revolutionising the last-mile mobility space.

Company URL: www.navtechelectronics.com

Job Title: ENGINEERING MANAGER (PLC / SCADA & INSTRUMENTATION)

Location: Hyderabad (Work from Office)

Job Type: Full-Time

Department : Engineering & Automation

Project Scope : EPC – PLC/SCADA/Instrumentation

Experience: 7 to 10 Years

Note : Willingness to travel and work at project sites across India.

ROLE SUMMARY

The Engineering Manager will lead end-to-end Engineering, Procurement & Construction (EPC) of PLC/SCADA and Instrumentation projects for water supply, irrigation, and pump house infrastructure. This is a hands-on leadership role responsible for technical design, procurement, site execution, commissioning, and team development – building Navtech’s EPC automation practice from the ground up.

KEY RESPONSIBILITIES

EPC Project Management

•     Lead EPC projects from engineering kick-off through procurement, FAT, SAT, commissioning & handover.

•     Manage project timelines, BOQs, vendor negotiations, subcontractors, and site commissioning teams.

•     Review and approve drawings, panel layouts, cable schedules, loop diagrams, and MARs.

SCADA System Design & Architecture

•     Design SCADA architecture for water treatment plants, irrigation pump houses, and distribution networks.

•     Prepare FDS, system architecture documents, I/O schedules, and SCADA graphic standards.

•     Select SCADA platforms (Ignition, AVEVA, WinCC, Wonderware) and define protocols (Modbus, DNP3, IEC 60870, OPC-UA).

PLC / RTU Programming & Integration

•     Develop and review PLC/RTU logic (Siemens, Allen Bradley, Schneider, ABB) for pump control, level monitoring, flow management, and interlocks.

Integrate field instruments with SCADA via wired/wireless/GPRS communication networks.

Instrumentation Engineering

•     Prepare instrument index, datasheet, hook-up diagrams, cause & effect matrix, and I/O list for all field instruments.

•     Select and procure instruments – flow meters, pressure/level transmitters, analyzers, VFDs, and motor starters.

•     Ensure calibration, loop checks, and functional testing of all field instruments prior to commissioning.

Networking, Infrastructure & Cybersecurity

•     Design OT network topology – industrial Ethernet, fiber optic, GPRS/4G RTUs, VPN, and OT firewall segmentation.

•     Set up SCADA server infrastructure – historian, redundant servers, HMI workstations, and cloud/edge connectivity.

Client Engagement & Team Building

•     Serve as primary technical contact for clients, consultants, and government water project authorities.

•     Prepare technical proposals, presentations, and BOQs for pre-bid and project stages.

Recruit, mentor, and manage SCADA engineers, instrumentation engineers, and commissioning specialists;

TECHNICAL SKILLS

SCADA / HMI : Ignition, AVEVA, Wonderware, WinCC, Vijeo Citect

Protocols  : Modbus, DNP3, IEC 60870-5, PROFIBUS, OPC-UA, MQTT

PLC / RTU : Siemens S7, Allen Bradley, Schneider Modicon, ABB, Delta

Instrumentation : Flow meters, Level/Pressure transmitters, Analyzers, VFDs, MFM

Networking  : Industrial Ethernet, Fiber, GPRS/4G RTUs, VPN, OT Firewall

Tools : AutoCAD, EPLAN, MS Project, MS Office

EXPERIENCE

•     7–10 years in PLC/SCADA/Instrumentation engineering with 3–4 years in water/irrigation EPC projects.

•     Proven track record of independently managing end-to-end EPC project delivery – design through commissioning.

•     Experience with government/municipal water utilities or irrigation departments preferred.

QUALIFICATIONS

•     B.E./B.Tech – Electrical, Electronics, Instrumentation, or E&C Engineering.

•     M.Tech or MBA (relevant field) will be an added advantage.

Certifications in SCADA platforms (Ignition, AVEVA, WinCC) or PLC programming preferred.

Kindly acknowledge the same with the below details:

Experience

Current CTC

Expected CTC

Reason for Job change or relocation

Notice Period

Job Summary:

We are seeking an experienced and highly motivated Senior Python Developer to join our dynamic and growing engineering team. This role is ideal for a seasoned Python expert who thrives in a fast-paced, collaborative environment and has deep experience building scalable applications, working with cloud platforms, and automating infrastructure.

Key Responsibilities:

Develop and maintain scalable backend services and APIs using Python, with a strong emphasis on clean architecture and maintainable code.

Design and implement RESTful APIs using frameworks such as Flask or FastAPI, and integrate with relational databases using ORM tools like SQLAlchemy.

Work with major cloud platforms (AWS, GCP, or Oracle Cloud Infrastructure) using Python SDKs to build and deploy cloud-native applications.

Automate system and infrastructure tasks using tools like Ansible, Chef, or other configuration management solutions.

Implement and support Infrastructure as Code (IaC) using Terraform or cloud-native templating tools to manage resources effectively.

Work across both Linux and Windows environments, ensuring compatibility and stability across platforms.

Required Qualifications:

5+ years of professional experience in Python development, with a strong portfolio of backend/API projects.

Strong expertise in Flask, SQLAlchemy, and other Python-based frameworks and libraries.

Proficient in asynchronous programming and event-driven architecture using tools such as asyncio, Celery, or similar.

Solid understanding and hands-on experience with cloud platforms – AWS, Google Cloud Platform, or Oracle Cloud Infrastructure.

Experience using Python SDKs for cloud services to automate provisioning, deployment, or data workflows.

Practical knowledge of Linux and Windows environments, including system-level scripting and debugging.

Automation experience using tools such as Ansible, Chef, or equivalent configuration management systems.

Experience implementing and maintaining CI/CD pipelines with industry-standard tools.

Familiarity with Docker and container orchestration concepts (e.g., Kubernetes is a plus).

Hands-on experience with Terraform or equivalent infrastructure-as-code tools for managing cloud environments.

Excellent problem-solving skills, attention to detail, and a proactive mindset.

Strong communication skills and the ability to collaborate with diverse technical teams.

Preferred Qualifications (Nice to Have):

Experience with other Python frameworks (FastAPI, Django)

Knowledge of container orchestration tools like Kubernetes

Familiarity with monitoring tools like Prometheus, Grafana, or Datadog

Prior experience working in an Agile/Scrum environment

Contributions to open-source projects or technical blogs

HIRING NOW

TRAINEE MEDICAL REPRESENTATIVES (TMR)

📍 PAN India | 🏫 Training in Gurgaon (Mandatory)

Eligibility:

✔️ B.Sc. / B.Pharma graduates

✔️ Age: Freshers < 23 yrs | Experienced < 25 yrs

✔️ Min. 3 months pharma sales exp. (preferred)

🚫 Only 1 pharma company experience allowed

👨 Only male candidates eligible

Responsibilities:

🔹 Promote pharma brands to doctors

🔹 Generate prescriptions & maintain rapport

💰 Salary: ₹25,000 per month

📍 Training Stipend: ₹175/day for 27 Days

🧳 Travel expenses for training covered

Benefits:

✔️ Medclaim – ₹3 Lakhs

✔️ Accidental Cover – ₹15 Lakhs

✔️ Term Insurance – 10x CTC

✔️ Bonus, LTA, Gratuity, TA, Incentives & More!

✔️ Lodging, boarding, meals & laundry fully covered by company

💻 2 Virtual Interview Rounds

🚀 Immediate Joiners Preferred

Job Title: Senior Data Scientist

Location: Hyderabad, India

Experience Level: 3+ years

Job Summary:

We are seeking a highly skilled Senior Data Scientist to join our dynamic team. The ideal candidate will have expertise in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Computer Vision, Transformers, Retrieval-Augmented Generation (RAG), and Generative AI (LLMs, Diffusion Models, etc.). Additionally, proficiency in Prompt Engineering is required. The role also demands secondary skills in Django, Database Management (MySQL, NoSQL), and REST API development.

Required Skills & Qualifications:

 Programming: Proficiency in Python.

 Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models.

 NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc.

 Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks.

 Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques.

 Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods.

 Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications.

 Django: Experience in building and maintaining backend services and APIs.

 Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling.

 REST API Development: Experience in developing and integrating APIs for AIpowered applications.

 Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes.

Job Title: Business Development Executive - Staffing Services & Client Relationship Management

Location: [Hyderabad]- Work from office

Employment Type: Full-time

Job Summary:

We are seeking a dynamic Business Development Executive to drive growth in staffing services and maintain strong client relationships. You will identify new business opportunities, close deals, and ensure client satisfaction.

Key Responsibilities:

• Identify and develop new clients for staffing services.
• Maintain strong client relationships and address their staffing needs.
• Generate leads through networking, cold calling, and online platforms.
• Present proposals, negotiate terms, and close deals.
• Collaborate with the recruitment team to meet client expectations.
• Monitor client satisfaction and resolve issues promptly.

Qualifications:

• Bachelor’s degree in Business, Marketing, or related field.
• Proven experience in business development or sales, preferably in staffing.
• Strong communication, negotiation, and problem-solving skills.
• Ability to meet and exceed sales targets.

What We Offer:

• Competitive salary and incentives.
• Growth and development opportunities.

Key Responsibilities:

• Development of a Single Page Application (SPA) and it's components in Typescript: deployed and optimized for progressive mobile and browsers using Angular 2 and Ionic 2 frameworks.
• Creating custom, general use modules and smart components which extend the elements and modules of core Angular framework.
• Creating self-contained, reusable, and testable modules and components in Typescript and using responsive HTML and CSS.
• Architecting and automating the build process for production, using task runners or scripts.
• Writing non-blocking code, and resorting to advanced techniques such as multi-threading, when needed

Skills and Qualifications:

• Should have experience with CSS 3, SCSS, Java script and HTML5.
• Full-time knowledge of Angular practices and commonly used modules based on extensive work experience. Or 2 Year or more experience with other industry-leading frameworks like React.
• Minimum 1-year experience in working and extending one of the CSS or UI frameworks like Ng-lightening, Angular-material

From building entire infrastructures or platforms to solving complex IT challenges, Cambridge Technology helps businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.

No Of Positions: 1

Skills required: 

• The ideal candidate will have a bachelor’s degree in data science, statistics, or a related discipline with 4-6 years of experience, or a master’s degree with 4-6 years of experience. A strong candidate will also possess many of the following characteristics:
• Strong problem-solving skills with an emphasis on achieving proof-of-concept
• Knowledge of statistical techniques and concepts (regression, statistical tests, etc.)
• Knowledge of machine learning and deep learning fundamentals
• Experience with Python implementations to build ML and deep learning algorithms (e.g., pandas, numpy, sci-kit-learn, Stats Models, Keras, PyTorch, etc.)
• Experience writing and debugging code in an IDE
• Experience using managed web services (e.g., AWS, GCP, etc.)
• Strong analytical and communication skills
• Curiosity, flexibility, creativity, and a strong tolerance for ambiguity
• Ability to learn new tools from documentation and internet resources.

Roles and responsibilities :

• You will work on a small, core team alongside other engineers and business leaders throughout Cambridge with the following responsibilities:
• Collaborate with client-facing teams to design and build operational AI solutions for client engagements.
• Identify relevant data sources for data wrangling and EDA
• Identify model architectures to use for client business needs.
• Build full-stack data science solutions up to MVP that can be deployed into existing client business processes or scaled up based on clear documentation.
• Present findings to teammates and key stakeholders in a clear and repeatable manner.

Experience :

2 - 14 Yrs

Technical Solutions Specialist, App

• Understanding of products’ integration flows from a technical and sales perspective
• Work with the internal stakeholders in Criteo to understand client business objectives
• Providing feedback to our internal and/or client’s engineering team
• Be responsible and have ownership for the designed end to end solution’s projects
• Work in a fast-paced innovative environment and be cool under pressure
• Thrive when confronted with complex problems that require innovative solutions
• Act as a Subject matter expert on App related queries
• Leverages technical knowledge of products to meet customer needs
• Participate with the wider global team to improve and develop new tools and processes.
• Play a leading role in the testing and deployment phases of new products and customized solutions for our app business.
• Proactive development of tools and solutions that will have an impact on our campaign performance or set up to support the growth of our South APAC team
• Provide guidance to other team members on areas of expertise
• Identify bugs, report them, and work close to our internal teams for resolution

Who You Are

• Engineering background with a computer science-related degree
• Fluent in spoken & written English
• Experience with ad technology is a strong advantage, though not mandatory
• Experience in developing or reviewing/debugging code for mobile apps, ideally on both iOS and Android
• Experience with development and/or debugging MMP partner SDK's like AppsFlyer, Branch etc. will be a big plus
• Other web programming languages is a plus (JavaScript, HTML, …)
• Strong interpersonal and communication skills across all levels of interlocutors
• Ability to work on multiple projects at once, prioritize and execute a large number of tasks, and resolve issues quickly
• Proactivity associated with a “can do” way of working
• Problem-solving and a positive attitude in a fast-paced environment
• Autonomous personality and interested in taking initiatives and leading on projects
• Team spirit oriented, sharing best practices, and open to train other team members
• Attention to detail to act as a consultant and be reactive in front of any potential situations
• Passion for new media, internet trends, and continual learning