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      EPAM Systems

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      Big Data Engineer Interview

      5 Apr 2022
      Anonymous employee
      Accepted offer
      Positive experience
      Difficult interview

      Application

      I interviewed at EPAM Systems

      Interview

      First, I had a meeting with HR to know more about the company and basic aspects of the position. Then, a technical interview. Later on, I had a meeting with HR again to know my results and to check the offer. The process took around one month.

      Interview questions [1]

      Question 1

      Exprience on big data. Some problems to solve. About, acid and agile metodology.
      Answer question
      11

      Other Big Data Engineer interview reviews for EPAM Systems

      Big Data Engineer Interview

      5 Nov 2025
      Anonymous interview candidate
      No offer
      Neutral experience
      Average interview

      Application

      I applied through a recruiter. I interviewed at EPAM Systems

      Interview

      The interview process went for more than 2 hours 30 minutes. But it was a good experience.Got to learn new concepts and helped me prepare better for my further interviews. Initially it was about project, python, sql, pyspark and AWS related services.

      Interview questions [1]

      Question 1

      Difference between cache and persist
      Answer question

      Big Data Engineer Interview

      21 May 2024
      Anonymous interview candidate
      Pune
      No offer
      Positive experience
      Difficult interview

      Application

      I applied through a recruiter. The process took 1+ week. I interviewed at EPAM Systems (Pune) in May 2024

      Interview

      The first round involved an online assessment on Codility which had 20 MCQs, one SQL and one DSA problem, The second round was a technical interview where most of the questions were about Spark. I did not do well, but the quality of the questions was excellent.

      Interview questions [1]

      Question 1

      i) Spark architecture ii) Difference between RDDs, DataFrames and Datasets iii) What is fault tolerance and how does spark handle it iv) Memory management and garbage collection in Spark v) One SparkSQL based question vi) One PySpark based question vii) ETL implementation in AWS Glue
      Answer question
      1