Location Name: Pune Corporate Office - Mantri

To effectively design, develop, and manage data solutions using ETL technologies such as Azure Databricks (ADB) , Azure Data Factory (ADF) and SQL

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 current 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.





Prioritize data vs AI optimization trade-offs

Handle production issues with RCA and long-term fixes

Drive architectural decisions for lakehouse + Data integration

Ensuring Data Delivery within TAT

Balancing performance, cost, and scalability

Managing dependencies across data engineering, AI, and business teams

Required Qualifications And Experience

REQUIRED SKILLS & EXPERIENCE

Azure Databricks – PySpark, SQL, Delta Lake

Strong experience in Semantic Modeling & Metrics Layer design

Pyspark (Pandas, PySpark, FastAPI)

Azure Data Factory (ADF) for ETL pipelines

Strong SQL and data modeling skills

Cosmos DB / MongoDB (NoSQL concepts)

Azure Data Explorer (KQL)

DATA STACK (MANDATORY FOR SCREENING)

1Databricks LakehousePySpark, SQL, Delta Lake

4ETL & OrchestrationAzure Data Factory

📌 Data Engineer (AI, db) (Pune)
🏢 Bajaj Finserv Health
📍 Pune