Learning a lot from experienced peers.
Career growth might be slow, but for good reasons.
Easy, very good, mostly SQL questions, Python easy questions. For SQL, concentrate on rank functions. For Python, concentrate on libraries such as NumPy and Pandas. The questions were very straightforward, and SQL questions were easy if having done
1 phone screening and 5 onsite rounds around SQL, Big Data, and warehousing. Every round had 2 LP questions. The interview experience was very pleasant and questions were open-ended to assess hands-on knowledge around data engineering skills.
First round: Self-introduction, several SQL questions on livecode, various behavioral questions, and time to ask the interviewer questions. Total: 45 minutes. Second round: Various behavioral questions, several technical questions, and time to ask q
Easy, very good, mostly SQL questions, Python easy questions. For SQL, concentrate on rank functions. For Python, concentrate on libraries such as NumPy and Pandas. The questions were very straightforward, and SQL questions were easy if having done
1 phone screening and 5 onsite rounds around SQL, Big Data, and warehousing. Every round had 2 LP questions. The interview experience was very pleasant and questions were open-ended to assess hands-on knowledge around data engineering skills.
First round: Self-introduction, several SQL questions on livecode, various behavioral questions, and time to ask the interviewer questions. Total: 45 minutes. Second round: Various behavioral questions, several technical questions, and time to ask q