Real, anonymous reports from people who interviewed for Data Engineer at EPAM Systems, newest first and distilled into what to expect across the loop.
After a recruiter HR round, I got a clear overview of what they were looking for, what I shared about my experience and goals, and what working at EPAM would feel like from a culture standpoint. It moved pretty quickly into an internal technical discussion.
My process started with an online assessment, followed by two technical interviews that ran long enough to feel intense—around 90 minutes each. Those rounds leaned heavily on SQL and Python, plus PySpark, and they also probed my cloud knowledge as it relates to data storage and authentication. I remember questions coming at me across tools in the data world too, including Data Factory and Databricks, not just language theory. The technical portion felt like deepening the same theme each time: write and reason with SQL and Python, then connect it to how data systems are built.
The interview process typically begins with an HR screening followed by two technical rounds, often culminating in a managerial or client interview. The sequence is generally straightforward, with a clear progression from technical assessments to discussions about fit and project context.
Candidates should expect a strong emphasis on SQL, Python, and Spark, with questions that probe both theoretical knowledge and practical application, including live coding exercises. Familiarity with cloud services and data tools like Databricks and Azure Functions is also important.
The technical rounds are described as challenging, often requiring candidates to demonstrate not only knowledge but also the ability to connect concepts and reason through complex problems. Candidates should prepare for in-depth discussions on data systems and optimization.
Later stages of the interview process often include discussions focused on behavioral aspects and how candidates approach project management and teamwork. These conversations are designed to assess fit beyond technical skills.
The communication throughout the process is generally noted as clear and supportive, with many candidates receiving timely feedback after interviews. However, some candidates experienced abrupt rejections without detailed explanations, which can be frustrating.
Candidates reported a range of experiences from average to challenging, with some feeling the pressure of consistent performance across multiple technical domains. While some found the process approachable, others noted a mismatch between their skills and the expectations set by the interviewers.