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      Entrevista para Senior Data Engineer

      21 de jun. de 2023
      Funcionário(a) sigiloso(a)
      Telephone, TX
      Oferta aceita
      Experiência positiva
      Entrevista difícil

      Candidatura

      Candidatei-me online. O processo levou 1 semana. Fui entrevistado pela Octopus Energy (Telephone, TX) em mai. de 2023

      Entrevista

      1) Interview with HR recruiter (30 to 40 mins) 2) coding challenge (scenario based) (3 to 4 hours) 3) Tech discussion with 2 engineers (45 mins) 4) white board design working through a scenario with 2 senior engineers (1 hour) All session were really informal with friendly staff who created a comfortable environment to help you relax and represent yourself in your best light.

      Perguntas de entrevista [1]

      Pergunta 1

      The HR interview was just a relaxed chat based around values and general compatibility for the role. They ensured that you have done your reading around the company and role. The tech challenge was python based, using a provided API to gather/filter/resubmit data. You had to upload the solution along with appropriate tests to Git. The engineer interview didn’t cover the tech challenge solution at all (surprisingly). It was a general discussion on past experience and projects. Later it switched gears to some more general questions like ‘what is etl?’ or ‘tell us about data streaming products?’ or ‘what problems have you had using semi-structured or unstructured data?’. AWS experience and services used was also covered. The whiteboard session I found the hardest part and was again scenario based where you had to diagnose problems in a process and work with the other engineers to come up with a solution. Later (once the main problem had been covered) more requirements/problems were added to see how you thought on your feed and you were questioned on which products you would use (and why)
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