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      Kantar XTEL

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      Data Engineer Interview

      20 Jan 2025
      Anonymous interview candidate
      Casalecchio di Reno

      Other Data Engineer interview reviews for Kantar XTEL

      Data Engineer Interview

      25 Jan 2024
      Anonymous employee
      Bologna
      Accepted offer
      No offer
      Positive experience
      Difficult interview

      Application

      I interviewed at Kantar XTEL (Casalecchio di Reno)

      Interview

      I've sent my application via LinkedIn, one month later I received an email in which I could schedule a first online meeting. After that I got invited to do a technical interview a week later in presence in which I had to solve some Python exercises in a Jupyter Notebook regarding data manipulation. The technical interview regarded data manipulation of sales in the form of Pandas dataframe and lasted about 1 hour and 30 minutes. During the interview there were 3-4 people present, they sometimes gave hints to help but many times each person suggested a different approach to each problem resulting in confusing me. Right after that I got interviewed by an HR who was very kind and asked what are my expectations regarding the pay. 3 working weeks later I received an email with the results

      Interview questions [1]

      Question 1

      The technical interview regarded data manipulation in python but SQL knowledge is recommended as some operations were like join queries
      Answer question
      Positive experience
      Average interview

      Application

      I applied online. The process took 2 weeks. I interviewed at Kantar XTEL (Bologna) in Mar 2021

      Interview

      Screening Call: Phone interview with HR, discussing experience and role expectations. Technical Assessment: Coding challenge to assess problem-solving skills. Onsite Interview: In-person meetings with team, technical tests, and cultural fit discussions. Final Round: Interview with leadership, project discussion, and potential offer negotiation.

      Interview questions [1]

      Question 1

      Can you explain the process of ETL (Extract, Transform, Load) and its importance in the context of data engineering
      1 Answer