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Everyone is doing data engineering and feels like an expert.
Data engineering is core to Amazon. Stop hiring software developers to develop data pipelines and data processing using complex solutions.
Very difficult process, it took me around one month to get back with the review for the interview. So I think overall it is a bad experience and a difficult interview process, while it has a lot of questions I was able to answer.
I applied online. The process took 4 weeks. Took like 4 weeks total. OA first, then a quick phone screen for basic SQL. Onsite was 5 rounds: data modeling, ETL architecture, coding/SQL, and the bar raiser. * IMO data modeling is the real filter her
A 2-hour back-to-back interview, mixing technical and behavioral questions. The focus was on Amazon Leadership Principles. Technical topics included questions on data engineering pipelines, ETL, indexing, and clustering. They asked about my techni
Very difficult process, it took me around one month to get back with the review for the interview. So I think overall it is a bad experience and a difficult interview process, while it has a lot of questions I was able to answer.
I applied online. The process took 4 weeks. Took like 4 weeks total. OA first, then a quick phone screen for basic SQL. Onsite was 5 rounds: data modeling, ETL architecture, coding/SQL, and the bar raiser. * IMO data modeling is the real filter her
A 2-hour back-to-back interview, mixing technical and behavioral questions. The focus was on Amazon Leadership Principles. Technical topics included questions on data engineering pipelines, ETL, indexing, and clustering. They asked about my techni