Requirements:
8+ years of experience in data engineering with robust expertise in Azure Data Lake, Databricks, and ADF. Hands-on expertise in SQL and Py Spark or Scala for building complex ETL/ELT solutions. Proven track record with batch & real-time ingestion, Kafka, and large-scale big data processing. Experience with relational and No SQL engines: SQL Server, Oracle, Azure SQL, and Cosmos DB. Experience with Informatica Power Center, Informatica IDMC, or equivalent cloud data integration tools.