Capgemini Data Engineer interview questions

I recently interviewed with Capgemini for a Snowflake Data Engineer role, and the overall experience was smooth and well-organized. The process started with an initial screening, followed by a technical interview and an HR round. In the technical round, the focus was mainly on Snowflake concepts, SQL queries, and real-time data engineering scenarios. Questions were asked on topics like data warehousing, ETL processes, query optimization, and handling large datasets. I was also asked to explain my previous projects and the challenges I faced. The interviewer was professional and supportive, and the discussion was more practical and scenario-based rather than purely theoretical. The HR round was straightforward, covering communication skills, work experience, salary expectations, and notice period. Overall, the difficulty level was moderate. Candidates with strong fundamentals in SQL, Snowflake, and data engineering concepts should be able to perform well. **Tip:** Be well-prepared with Snowflake architecture, SQL optimization techniques, and be ready to explain your project experience clearly with real-time examples.

It was pretty straightforward. Direct asked to open my resume and asked to explain the previous project. Questions were on architecture, end to end design. Asked about pipelines, few concepts.