Job TitleSkills and Experience You Will Need:PySpark: Hands-on experience with Data Frames, RDDs, joins, transformations, and actions.Databricks: Job optimization, cluster configuration, repartitioning, and Shuffle mechanicsAWS: S3 buckets, IAM, CloudWatch, and integration with Databricks.SQL: Strong query skills for analytics and ETL.Performance tuning: Partitioning, caching, broadcast joins, and skew handling.Delta Lake, Medallion Architecture, Spark Streaming, Spark ML, and CI/CD pipelines.Data & Platform KnowledgeETL/ELT design patternsHandling large-scale structured and semi-structured dataPerformance tuning (partitioning, caching, broadcast joins)