MUMBAI · FULLTIME
Data Engineer with Data Bricks
Exponentia.ai Private Limited
Mumbai · hybrid · Posted 3d ago
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Undisclosed6–10 yrsfulltimeMumbai
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Section · 01
About this role
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 modern 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.
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Section · 02
Skills
DatabricksPysparkData EngineeringPythonSQLAzure DatabricksETL