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      Quantexa

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      Ricerche correlate: Recensioni su Quantexa | Offerte di lavoro di Quantexa | Stipendi di Quantexa | Benefit di Quantexa
      Colloqui di QuantexaColloqui per Data Engineer presso QuantexaColloquio di Quantexa


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      Colloquio per Data Engineer

      2 set 2025
      Dipendente anonimo
      Offerta accettata
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso Quantexa nel mese di ago 2025

      Colloquio

      The interview had three phases: Introductory Phone Call: The talent partner calls to get to know you a bit beyond your résumé. If they feel you are a suitable candidate for the role, you will be forwarded to the next phase immediately after the call. Coding Assignment: You will be given four problems to solve within seven days from the date of assignment. The solutions must be implemented using Scala and Spark, and you are also required to write test classes. The assignments are relatively straightforward; the main purpose is to assess your aptitude for functional programming, as the company’s primary tech stack is based on the Scala/Spark ecosystem. You will be provided with access to an online portal where you can review the requirements and submit your work. After submission, you should be notified within a week whether your work was satisfactory enough to progress to the final stage. Final Interview: This stage is more technical and can last up to two hours. You will be interviewed by at least two senior engineers from the team. It consists of three segments: Project Presentation: You will present a project you have worked on, with 15 minutes allocated for your presentation. Afterward, the interviewers will ask questions about it from various angles. Coding Assignment Review: You will be asked about your coding assignment submission, including possible modifications, test cases, and your thought process when designing the solution. Case Study Exercise: You will be given a dummy case similar to Quantexa’s day-to-day work. This part is not coding-heavy; its purpose is to test your reasoning, attention to detail, and problem-solving approach.

      Domande di colloquio [2]

      Domanda 1

      Why are you interested in Quantexa?
      Rispondi alla domanda

      Domanda 2

      Why are you applying for this role?
      Rispondi alla domanda

      Altre recensioni di colloqui per Data Engineer presso Quantexa

      Colloquio per Data Engineer

      13 nov 2025
      Dipendente anonimo
      Offerta accettata
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Quantexa nel mese di nov 2025

      Colloquio

      My interview experience with Quantexa was genuinely excellent. The whole process felt smooth, transparent, and very supportive. The task stage was especially positive — I received great feedback on my approach, which made me feel valued and respected as a candidate. The final interview was also a great conversation. The team were friendly, open, and really took the time to understand my experience and how I work. Communication from the Talent Team was outstanding throughout, with quick updates and clear guidance at every step.

      Domande di colloquio [1]

      Domanda 1

      How would you test your solution? Walk us through your approach to the task.
      Rispondi alla domanda

      Colloquio per Data Engineer

      22 ago 2025
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho sostenuto un colloquio presso Quantexa

      Colloquio

      I had to do an interview with a human resources person and then went on to a technical interview of approximately 2 hours of exercises at Scala together with two Senior Data Engineers

      Domande di colloquio [1]

      Domanda 1

      - Data Frames , Scala knowledge and clustering
      Rispondi alla domanda

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