Data Engineer
About this role
| Job Purpose | To effectively design, develop, and manage data solutions using ETL technologies such as Azure Databricks (ADB) , Azure Data Factory (ADF) and SQL |
| Duties and Responsibilities | KEY RESPONSIBILITIES • Translate business requirements into technical solutions in collaboration with the PMO team. • Own end-to-end delivery of data projects, ensuring on-time execution and adherence to quality standards. • Design technical architecture and guide development efforts for enhancements and new projects. • Develop and maintain robust ETL pipelines and data integration modules across systems. • Ensure high data quality, data anomaly resolution of critical process issues. • Monitor and resolve performance bottlenecks in data workflows and programs. • Establish best practices, standard operating procedures, and drive their implementation across teams. • Act as a liaison with business users and product managers to support daily data needs and strategic initiatives. • Coordinate with internal and external development teams to troubleshoot and resolve issues efficiently. • Manage workload through effective planning, prioritization, and progress tracking. |
| Key Decisions / Dimensions | KEY DECISIONS / DIMENSIONS • Define semantic layer design and metric definitions • Prioritize data vs AI optimization trade-offs • Handle production issues with RCA and long-term fixes • Drive architectural decisions for lakehouse + Data integration |
| Major Challenges | MAJOR CHALLENGES • Ensuring Data Delivery within TAT • Driving adoption of GenAI-based BI over traditional dashboards • Balancing performance, cost, and scalability • Managing dependencies across data engineering, AI, and business teams |
| Required Qualifications and Experience | REQUIRED SKILLS & EXPERIENCE Must Have • Azure Databricks – PySpark, SQL, Delta Lake • Strong experience in Semantic Modeling & Metrics Layer design • Hands-on with Databricks workflows • Pyspark (Pandas, PySpark, FastAPI) • Azure Data Factory (ADF) for ETL pipelines • Strong SQL and data modeling skills Good to Have • Cosmos DB / MongoDB (NoSQL concepts) • Azure Data Explorer (KQL) DATA STACK (MANDATORY FOR SCREENING) SNo Data Platform / Concepts Associated Technologies 1 Databricks Lakehouse PySpark, SQL, Delta Lake 2 AI for BI Databricks Genie, Genie Rooms, Instructions, Agents 4 ETL & Orchestration Azure Data Factory 5 Programming Pyspark 6 Cloud Platform Azure (Preferred) 10 DevOps CI/CD Pipelines, Git |
Frequently Asked Questions
Is the salary disclosed for the Data Engineer position at Bajaj Finance?
The salary for this Data Engineer role at Bajaj Finance is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer position at Bajaj Finance located?
This Data Engineer role at Bajaj Finance is based in Pune, Maharashtra, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Engineer role at Bajaj Finance full-time or part-time?
This is listed as a FULL TIME position. It is posted as a Data Engineer role at Bajaj Finance.
How do I apply for the Data Engineer position at Bajaj Finance?
Click the "Apply Now" button on this page. You will be redirected to Bajaj Finance's official application portal hosted on peoplestrong where you can submit your application directly.
When was the Data Engineer job at Bajaj Finance posted?
This Data Engineer position at Bajaj Finance was posted on Aug 22, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer
Bajaj Finance
You'll be redirected to Bajaj Finance's official application page on peoplestrong.