Data Engineering and Analytics Transformation Questions

Building and evolving data engineering and analytics capabilities to enable data driven decisions at scale. Areas include selecting and operating data platforms designing event and batch architectures data modeling and semantic layers pipeline orchestration data quality and observability metadata and governance and enabling self service analytics. Candidates should explain how they prioritized data investments, drove adoption across teams, measured business impact, and linked analytics work to broader transformation goals.