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.
