Big Data QA Engineer

Malvern, PA, USA

Ranked as #12 on Forbes’ List of 25 Fastest Growing Public Tech Companies for 2017, EPAM is committed to providing our global team of 25,900+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty, and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.


You are curious, persistent, logical and clever. You enjoy living by the code of your craft and developing mind-blowing solutions for complex problems. You are a true techie at heart. If this sounds like you, this could be the perfect opportunity to join EPAM as a Big Data QA Engineer. Scroll down to learn more about the position’s responsibilities and requirements.

We are looking for a Big Data QA Engineer for enterprise, large volume and high velocity solution on data analytics. He needs to be an expert in quality assurance of ETL/BI/DWH solutions. The person should be able to organize QA process, provide accurate and well-structured test reports, eager to develop automated testing by having an understanding Hadoop and RDBMS systems and business logic.

What You’ll Do

  • Create and communicate a big data test strategy around the Hadoop cluster ecosystem and multiple subproject;
  • Ensure data integrity throughout the ETL flow;
  • Validate the complex data flow and transformations of the data;
  • Ensure requirements compliance;
  • Complete manual test rounds and/or implements automated test cases;
  • Provide guidance on establishing data QA process.

What You Have

  • Experience in QA in BI/data analysis/data warehouse projects;
  • Team player in cross functional team, good communicator, driven and committed;
  • Proficient knowledge of SQL;
  • Knowledge the basics of the Hadoop ecosystem (HDFS, Hive, Impala, Sqoop, HBase, Kafka – interfaces, methodologies);
  • Awareness of test automation concepts and tools in BI/DWH;
  • Basic scripting skills of a language of choice (Python, Ruby, Java);
  • Ability to understand ETL code;
  • Understanding of Agile/Scrum methodology;
  • Domain knowledge of/experience in the financial domain/banking.

What We Offer

  • Medical, Dental and Vision Insurance (Subsidized);
  • Health Savings Account;
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter);
  • Short-Term and Long-Term Disability (Company Provided);
  • Life and AD&D Insurance (Company Provided);
  • Employee Assistance Program;
  • Matched 401(k) Retirement Savings Plan;
  • Paid Time Off;
  • Legal Plan and Identity Theft Protection;
  • Accident Insurance;
  • Employee Discounts;
  • Pet Insurance.