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      Entretien pour Senior Data Analyst, Content Analytics

      21 mai 2017
      Candidat à l'entretien anonyme
      Los Angeles, CA
      Aucune offre
      Expérience positive
      Entretien difficile

      Candidature

      J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez Netflix (Los Angeles, CA) en juin 2016

      Entretien

      I submitted my application via the Netflix jobs site in the evening on a Wednesday, and received an email from a recruiter Monday morning (5 days later) inquiring if I was available to chat. The recruiter and I set up time for 8 days after their initial email (this was because of a holiday weekend, otherwise, we might have connected sooner). They gave me a link to the standard Netflix culture slides, which I reviewed in advance of the call. *1st Interview* The recruiter was interested in what I was currently doing, so I spoke to my background and my interest in the position. I mentioned that I had some irons in the fire, as I was looking at multiple jobs at the time, and was anticipating movement/offers. The recruiter assured me that Netflix moves very quickly (I found this to be true). We chatted for about 25-30 minutes. I followed-up with the recruiter two days later and they replied that they would like me to speak with the hiring manager by phone. We set up a 45-minute time slot for the following day. *2nd Interview* The hiring manager was a great guy, and we shared a pleasant chat for about 40 minutes. He was able to give me even deeper insight into the team. Similar to Interview #1, I spoke to my background and qualifications. I followed-up with the recruiter after Interview #2 and they responded to me in the morning, three days later, letting me know that I had moved on to a more technical call with one of the team. *3rd Interview* My technical interview was with a data engineer on the team. This guy had pretty strong SQL chops. For the first 15 minutes, we spoke about the technologies that I used day-to-day, and whether I utilized any data which changed daily. Then, we dug into a CollabEdit shared screen on the computer and he gave me some SQL problems to solve. The 1st question wasn't too difficult; as I recall, it was a pretty straightforward SELECT query with maybe one or two JOINS. He asked me how I would handle NULLs in the data; I replied that we could utilize IS NOT NULL. He asked me if there was any other way to do this. I replied that we could utilize the NVL statement. He seemed satisfied with this. The 2nd problem threw me for a loop. In hindsight, it probably wasn't that hard, but I ended up with a swing and a miss. It had to do with a SELECT query involving percentages. It involved some interesting subquerying and aliasing, too, so make sure that you are really familiar with these concepts. The examples also used terms from the real Netflix world (e.g., streaming times) so if you are familiar with that world, it helps. Finally, he asked me how I would rate my Python skills, and how I would transfer 1 TB of data (I think that this question is addressed in CtCI). I asked him a couple of questions, and that was it. The recruiter let me know two days later in the evening that I hadn't moved on.

      Questions d'entretien [1]

      Question 1

      How would you handle NULLs when querying a data set? Are there any other ways?
      1 réponse
      5