Design, build, and optimize scalable data pipelines and analytics solutions on Azure cloud
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)

🎯 Requirements

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 / PySpark
Experience working with Delta Lake

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