Good teams, all sorts of different projects, strict but generous policies, lots of opportunities to learn. Feels like the company actually invests in you, and doesn't just want to use you.
Just the standard multinational company stuff. Lots of policies. You don't really have a fixed team; they always change with each project. It's an intense place to work at, I think.
There were two parts: the typical HR screening and the technical interview. The technical interview took 1 hour. First, they ask you about your experience coupled with behavioral questions, then they will start asking data engineering theory.
I was not even invited to a pre-screen interview. I only received some automatic emails, including the one that contained the information that my application was rejected. Then, after the "process", I also received an email to rate their interview pr
1. The initial round was a standard HR session. 2. A homework task to create a backend service was assigned. 3. A technical round with engineers from the project followed. Back-end-related technical questions were asked. We also went through my homew
There were two parts: the typical HR screening and the technical interview. The technical interview took 1 hour. First, they ask you about your experience coupled with behavioral questions, then they will start asking data engineering theory.
I was not even invited to a pre-screen interview. I only received some automatic emails, including the one that contained the information that my application was rejected. Then, after the "process", I also received an email to rate their interview pr
1. The initial round was a standard HR session. 2. A homework task to create a backend service was assigned. 3. A technical round with engineers from the project followed. Back-end-related technical questions were asked. We also went through my homew