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      Lifesight

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      Ricerche correlate: Recensioni su Lifesight | Offerte di lavoro di Lifesight | Stipendi di Lifesight | Benefit di Lifesight
      Colloqui di LifesightColloqui per Data Engineer presso LifesightColloquio di Lifesight


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      Colloquio per Data Engineer

      3 dic 2018
      Dipendente anonimo
      Bengaluru
      Offerta accettata
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite un'agenzia di reclutamento personale. La procedura ha richiesto una settimana. Ho sostenuto un colloquio presso Lifesight (Bengaluru) nel mese di nov 2018

      Colloquio

      The following are the rounds 1) Coding round - Mostly a hackerrank test Next there will be 3-4 rounds depending on the role ( I had 3 rounds ) and candidature 1st - Basic technical round around general Computer science and big data concepts 2nd - Core Big data technical round around the technologies 3rd - On system design and again big data technicalities. 4th Round (Optional) is algo & DS

      Domande di colloquio [1]

      Domanda 1

      Questions on Spark, Hive, Hbase and other big data stack.
      1 risposta
      2

      Altre recensioni di colloqui per Data Engineer presso Lifesight

      Colloquio per Data Engineer

      27 mag 2026
      Candidato anonimo a colloquio
      Bengaluru
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso Lifesight (Bengaluru)

      Colloquio

      Applied through an offline hiring drive. The first round was an online technical assessment where candidates received a test link and completed the assessment on sight. The round mainly focused on technical based questions.

      Domande di colloquio [1]

      Domanda 1

      Why do we use disk storage level in Spark caching instead of only memory?
      Rispondi alla domanda

      Colloquio per Data Engineer

      7 dic 2018
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza negativa
      Colloquio facile

      Candidatura

      Ho presentato la mia candidatura di persona. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Lifesight nel mese di dic 2018

      Colloquio

      Initially there was an hacker rank test. Later there are two rounds of interview. First round was overview and second was specific questions on each big data technology. Bad thing about the second round is the interviewer is more focused on key terms rather than the actual concept in it. And the interviewers are not transparent. They accept the solution without raising any queries and reject in the end. Had they raised the queries i would have given the answer they expected. Also they asked me some specific question on spark dbms connection timeout. Even-though I mentioned i haven’t worked on this connection, he asks me if you know the feature spark provides in the connection. It felt as if both the interviewers went through a slide by title “spark internals” and were obsessed with it as they asked me if i know about spark internals and kept asking me specific key words that were used in that slide. Funny thing is the slide has “wide dependencies” and “narrow dependencies” in one of the slide and the interviewer tried to check if know these and asks me if i know “narrow rdd” and “wide rdd”. The interviewer seems amateur. When i spoke to the hr, hr says you are not technically sound even though i answered almost all questions correctly. And the hr has a discussion with the interviewer and says the expected answers were different. And says we needed 100% score on hacker rank and i scored 80. Don’t feel the fundamental concept of hacker rank works in practice. One good thing about hr is she tried to explain and offered to send me a detailed feedback on the questions, my answers and the expected answers by next day end. Sadly I didn’t receive any.

      Domande di colloquio [6]

      Domanda 1

      Do you know what a narrow rdd is and a wide rdd is?
      1 risposta

      Domanda 2

      Kafka vs other message queues
      Rispondi alla domanda

      Domanda 3

      Why hbase has fast random read write capabilities
      Rispondi alla domanda

      Domanda 4

      Array rank problem
      Rispondi alla domanda

      Domanda 5

      Given a code draw the dag
      Rispondi alla domanda

      Domanda 6

      Draw spark architecture
      Rispondi alla domanda
      4

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