The interview process included an initial screening followed by a technical L2 discussion for a Senior Data Engineer role. The technical round was broader than only SQL and included practical data engineering topics such as SQL problem solving, data warehousing, data modeling, data governance, data validation, ETL pipeline design, and production-oriented scenarios. The interviewer also shared a few live SQL-style questions through chat, including consecutive purchase detection, sessionization, triggers, and splitting comma-separated values. Overall, the interview was challenging and focused on real-world data engineering understanding rather than only syntax.
Interview questions [1]
Question 1
Some of the questions included: explain data warehouse concepts, data modeling techniques, data governance and security compliance, data validation approaches, SQL questions using window functions, finding customers with consecutive 3-day purchases, sessionization based on a 30-minute gap, creating an inventory update trigger, splitting comma-separated values into rows, and designing an ADF-style pipeline for large CSV files with tenant-level isolation.