There were two interview rounds, both conducted virtually. Round 1 – Technical Interview (45 minutes): This round was led by two technical panelists. The conversation started with a short discussion about my resume, and the projects I listed related to data engineering and analytics. The technical part focused mostly on SQL and Python: SQL questions: Topics included JOINS, GROUP BY, aggregate functions, RANK functions, and DDL, DML operations (INSERT, UPDATE, DELETE). Python questions: General Python coding and logic-based problems. One of the tasks tested basic understanding of iteration and data manipulation. Round 2 – Final Interview with Director: This round included similar technical questions on SQL and Python, along with some behavioral questions related to teamwork, problem-solving, and my interest in data engineering. Overall, the interview was structured, friendly, and technical. It focused on fundamentals of data engineering and coding, with a clear expectation that candidates have solid SQL and Python skills and can explain their project work confidently.

The interview process is composed of 1 HR interview and 3 technical interview. The technical interview consists of common SQL and Python questions. Overall, the interview process is quite linear and the interval between interview is not too long.