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.