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      Ricerche correlate: Recensioni su Meta | Offerte di lavoro di Meta | Stipendi di Meta | Benefit di Meta
      Colloqui di MetaColloqui per Senior Data Engineer presso MetaColloquio di Meta


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      Colloquio per Senior Data Engineer

      4 giu 2026
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza neutra
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso Meta

      Colloquio

      Some recuireter spoke to me on phone and gave me the position's details and the interview details. She told me the following interview will have questions in Python and Sql.

      Domande di colloquio [1]

      Domanda 1

      I will speak about the technical first step where I needed solving questions in Python (half an hour) and in Sql(half an hour). I succeeded solving 2 SQL questions and 1 in Python. Sql Part: I was given 5 tables presented a library. But the main 2 and only tables I needed to use in the following questions were: copies and checkouts. copies table : book_id,copy_id,condition. checkouts table: copy_id,checkout_date,returned_date,renwed_count. First Q: Calculate the total number of books their condition is good and havent returned yet (it should be called "numbers_of_returned_books"). Take this total and return the books' precentage that their renewed > 2 (this should be called "pct_renewed"). The output should be - numbers_of_returned_books and pct_renewed. Second Q: They defined a value - lifetime_value. This value is calculated as : numbers of days since the day they were taken and returned. I was asked to bring the book ids their lifetime_value in top 3 books and pay attention their number of copies <=10 and their returned_Date is not null. Python Part: You are given a books list which cotains tuples. Each book in books list contains the book name and its score. For example: list books = [("Agr",3),("bsa",2),("Agr",4),("mas",7)] You need to return the highest score sum were given to the top 3 books in the list. You are not allowed sum the score number for a book twice.
      Rispondi alla domanda

      Altre recensioni di colloqui per Senior Data Engineer presso Meta

      Colloquio per Senior Data Engineer

      30 mag 2026
      Dipendente anonimo
      Offerta accettata
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho sostenuto un colloquio presso Meta

      Colloquio

      Recruiter reached out on LinkedIn, followed by 1 technical interview, then 3 more rounds of technical interviews and 1 round of behavior questions interview. All technical interviews are sql and python questions, which starts with the easiest and getting harder and harder.

      Domande di colloquio [1]

      Domanda 1

      what does data engineering mean to you
      Rispondi alla domanda

      Colloquio per Senior Data Engineer

      3 feb 2026
      Candidato anonimo a colloquio
      Mountain View, CA
      Nessuna offerta
      Esperienza negativa
      Colloquio difficile

      Candidatura

      Ho sostenuto un colloquio presso Meta (Mountain View, CA)

      Colloquio

      Very stressing, some interviewers were nice, some were like robots, everything about the process makes you feel like your in a chase, not a pleasant experience. If working for the company is like that that's a bad place to work at.

      Domande di colloquio [1]

      Domanda 1

      Product sense questions, 4 in each interview of 1 hour
      Rispondi alla domanda

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