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Senior Databricks Data Engineer

India Full-time Hybrid

About the role

We are hiring a Senior Databricks Data Engineer to design scalable, secure, and high-performance data platforms supporting healthcare analytics and data integration. Day-to-day work involves applying strong expertise in Databricks, cloud data architecture, data engineering, and healthcare data, with a focus on modern data architecture, Lakehouse architecture, SQL, Python, data governance, and healthcare domain workflows. This full-time role is based in India and follows a hybrid work model.

What you’ll do

  • Design scalable, secure, and high-performance data platforms
  • Support healthcare analytics and data integration
  • Apply modern data architecture and Lakehouse architecture practices
  • Implement data governance for healthcare data
  • Build and maintain ETL/ELT pipelines using PySpark and SQL
  • Leverage Unity Catalog for data management
  • Work with Delta Lake in Databricks environments
  • Ensure data platforms meet healthcare domain workflow requirements

What you’ll bring

  • Strong hands-on experience with Databricks
  • Strong expertise in cloud data architecture and data engineering
  • Strong knowledge of Lakehouse architecture
  • Strong knowledge of SQL and Python
  • Strong knowledge of data governance
  • Strong knowledge of healthcare domain workflows
  • Bachelor's Degree
  • Experience supporting healthcare analytics and data integration

Skills

DatabricksLakehouse architectureDelta LakePySparkSQLUnity CatalogData governanceETL/ELT

Education

Bachelor's Degree