Team members are friendly and dedicated to move projects forward.
Lack of projects means little work to do.
The interview process involved one HR interview, a friendly discussion about my projects and experience, and one technical interview focusing on Linux and databases. The technical interview was strict and challenging, with numerous questions about L
CV review, screening interview, technical interview, HR interview, then final interview with the team lead. Lastly, you get the offer if you performed as professionally as they expect.
What is the difference between a data warehouse and a data lake? In what scenarios would you choose one over the other in a data engineering project?
The interview process involved one HR interview, a friendly discussion about my projects and experience, and one technical interview focusing on Linux and databases. The technical interview was strict and challenging, with numerous questions about L
CV review, screening interview, technical interview, HR interview, then final interview with the team lead. Lastly, you get the offer if you performed as professionally as they expect.
What is the difference between a data warehouse and a data lake? In what scenarios would you choose one over the other in a data engineering project?