About the Role:

We are seeking a Senior Databricks Data Engineer to design and develop scalable data pipelines, optimize Spark workloads, and build enterprise-grade data engineering solutions using Azure Databricks. The engineer will play a critical role in migrating Finance data from on-premises SAP systems into a up-to-date cloud Lakehouse architecture.

Key Responsibilities
Design and develop scalable ETL/ELT pipelines.
Develop PySpark and Spark SQL transformations.
Build Bronze, Silver, and Gold layer data pipelines.
Integrate SAP and enterprise source systems.
Implement Delta Lake best practices.
Optimize Spark jobs for performance and cost.
Build reusable data engineering frameworks.
Implement data quality and validation rules.
Develop incremental and CDC pipelines.
Collaborate with BI developers for optimized reporting datasets.
Participate in code reviews and technical documentation.
Support production deployments and troubleshooting.

📌 Data Engineer With Data Bricks Mumbai
🏢 Exponentia.ai Private
📍 Mumbai