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Databricks Engineer - Senior/ Lead

Blend360

IN, Remote Indexed 2026-08-17
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  • First indexed: 2026-08-17. This is when Catalitium indexed the listing — not necessarily the employer posting date. Roles may close or change without notice.
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Job description

The ideal candidate should have experience working with large datasets, distributed data processing, and modern data engineering practices. Responsibilities  Design, develop, and maintain scalable data pipelines using Azure Databricks  Implement ETL/ELT workflows using PySpark, Spark SQL, and Python  Optimize Spark jobs for performance, cost, and scalability  Work with structured and semi-structured data (Parquet, Delta, JSON, CSV)  Build and manage Delta Lake tables (ACID, time travel, schema evolution)  Integrate Databricks with Azure Data Lake Storage (ADLS Gen2)  Develop complex queries and transformations using SQL  Collaborate with data scientists, analysts, and stakeholders to support analytics and ML use cases  Ensure data quality, validation, and monitoring  Follow best practices for security, access control, and governance in Azure  6+ years of experience in Data Engineering  Strong hands-on experience with Azure Databricks  Proficiency in Python for data processing  Strong knowledge of SQL (joins, window functions, performance tuning)  Hands-on experience with Apache Spark / PySpar...
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