I got a first response one week after I submitted my application. After some lengthy initial period things started moving fast. Screening call with the recruiter was trivial. Second interview was a set of python and sql questions with increasing complexity. The main point here is timing. You don't have to aim for the ideal solution, just something that gives correct output. You also should explain what are you doing. The interviewer was neutrally positive. There was no personal touch, however I felt no one wants me to fail. The final interview was a full day, in-house. Questions where mix of programming, sql and data modelling questions. You also had an oportunity to ask questions. I think programming and sql questions where of an average complexity and there is ample of resources on the internet that will help you to prepare. Regarding data modelling, this is a bit of a grey area. I believe I was asked questions which could be answered in multipe ways, and had an impression only a certain aspect of the answer was accepted. I couldn't understand on what part of the solution they would like me to elaborate in more depth. This probably could be the weak point of the process and could potentially lead to some random results in hires. There is focus on huge amounts of data. Think about how to pre-aggregate very large datasets into smaller tables whih could however be re-used to answer multiple business questions. I believe most of the interviewers where nice and pleasant. They need to put down a some notes and remarks during the interview which might be distracting. In general, it was a good process with minimal frustration relative to the size of the company. My only frustration in the data modelling. Should I ever decide to re-apply, I still might fail the last stage as I still don't understand what answer are expected from me, even though I have wast experience in this domain and architected many big data solutions.