Location Bangalore (IN), Chennai (IN), Cochin (IN), Pune (IN) YOUR ROLE
• Design, build and own scalable data pipelines on Azure using Databricks, PySpark and Spark SQL, from requirements to productive operation.
• Implement Delta Lake solutions, including ingestion, transformation and Medallion architecture (Bronze/Silver/Gold).
• Define and implement data governance, access control and lineage with Unity Catalog.
• Tune Spark jobs, clusters and storage for performance and cost (partitioning, caching, cluster sizing).
• Ensure data quality through validation, testing and monitoring, and resolve data issues with root-cause analysis.
• Integrate data from databases, APIs, files and streaming platforms.
• Work with data analysts, data scientists and architects, and prepare data for business users, including dashboards on Databricks Apps.
• Keep code in Git and follow CI/CD and documentation best practices; share your working style through reviews and pairing.





YOUR PROFILE
• 6–8 years of data engineering experience, including 3–4 years of hands-on Databricks.
• Strong Python, PySpark and Spark SQL.
• Experience with Azure services: ADLS Gen2, Data Factory, Key Vault, Event Hubs.
• Solid command of Delta Lake, Unity Catalog, Lakeflow Jobs (formerly Databricks Workflows) and Lakeflow Declarative Pipelines (formerly Delta Live Tables).
• Good understanding of data modelling and data warehousing, and proven experience designing a data platform on Azure.
• Strong communication skills and the ability to work with international clients (good English).
• Bachelor's or Master's degree in Computer Science, IT or a related field.
• Databricks Certified Data Engineer Professional
• Exposure to data science and ML workflows

📌 Senior Databricks Data Engineer (Bengaluru)
🏢 adesso India
📍 Bengaluru