The interview process consisted of 1–2 technical rounds focused mainly on Python, SQL, BigQuery, and Airflow. Questions were mostly hands-on and scenario-based, covering data transformations, joins, JSON handling, partitioning vs clustering, and workflow orchestration concepts. The interviewer also asked basic PySpark and Pandas questions, along with conceptual questions on data warehousing (e.g., Redshift, MPP). Overall, the discussion was practical, conversational, and implementation-focused rather than theory-heavy.