An interview is focused on SQL, Python, and AWS data engineering services, including scenario-based questions on ETL pipelines, Redshift, Glue, Athena, and PySpark transformations Also round was more technical and included real-time data engineering use cases, optimization techniques, joins, window functions, and troubleshooting AWS workflows. The overall process was challenging but well-structured for experienced AWS Data Engineers.

The Amazon Data Engineering interview can be broadly divided into 3 rounds. After applying for the job, a screening round is conducted, which is a telephonic interview with a recruiter. Candidates then proceed to the second round, which is a technical phone interview, with questions focusing on SQL and Data Modeling.