Screening round is made of 3 interviews:

• HR call
• Coding
• Manager

First one is pretty standard, they just wanna know why you applied and your career. Second is a mix of Python and SQL applied to a simple data model about Netflix where you have to prove you can code basically. Third is a catchup with the hiring manager and you are asked more in-depth questions about what you have worked on in the past.

If you pass the screening phase then you have the second round: 2 coding interviews and another HR interview where they go in depth about their culture.

One coding round is with a data engineer more focused on the analytics, so it's similar to the coding interview of the screening round, they just go more in depth. The other coding interview is done by a software engineer and they wanna test your algo and data structures skills, it's not LeetCode but still you are asked an algorithmic question related to a problem you might face at Netflix.

Last round should be other 2/3 more interviews with stakeholders and engineering director, but I did not make it here so that's all I know.

Overall the process was nice, people were friendly and down to earth and they even provided feedback after the first and the second round, which is nice so at least you know what they did not like about you.

What is kinda hard is that you cannot really prepare like for LeetCode interviews because questions are more open-ended and I think also it matters a lot how you tell your story. Like I failed because they said I have not enough experience in topic X, which is not true, but I think I just failed and did not tell a compelling story or example of work I have done on topic X.

Ask to design a data pipeline: do you think your solution will scale to Netflix's volume of data? Why Netflix and not Google? What would make you drop from the selection process now?