Hello,

We are looking for a Senior Databricks Data Engineer to build scalable data pipelines and enterprise-grade Lakehouse solutions using Azure Databricks . The role involves working on Finance data migration from SAP systems to a modern cloud data platform.

Key Responsibilities

Design and develop scalable ETL/ELT data pipelines.

Develop transformations using PySpark and Spark SQL . Build Bronze, Silver & Gold data layers.

Work with Delta Lake, ADF and ADLS Gen2 . Integrate SAP and enterprise source systems.

Develop incremental and CDC pipelines. Optimize Spark jobs for performance and cost.

Implement data quality and validation frameworks. Support CI/CD, deployments and production troubleshooting.

Required Skills

8–12 years of Data Engineering experience.



Strong hands-on Azure Databricks experience.

Expert in PySpark, Spark SQL and SQL . Strong experience with Delta Lake .

Experience with Azure Data Factory & ADLS Gen2 .

Valuable understanding of Git and CI/CD.

Knowledge of SAP data extraction/integration.

? Location: Mumbai, India | Work Mode: WFO

? Experience: 8–10 Years

Thanks & Regards

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📌 Senior Databricks Data Engineer (Mumbai)
🏢 IITjobs
📍 Mumbai