Big Data Engineer applicants have rated the interview process at EPAM Systems with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 58.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Big Data Engineer roles take an average of 7 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at EPAM Systems overall takes an average of 23 days.
Common stages of the interview process at EPAM Systems as a Big Data Engineer according to 6 Glassdoor interviews include:
One on one interview: 33%
Presentation: 33%
Phone interview: 17%
Skills test: 17%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. I interviewed at EPAM Systems (Pittsburgh, PA) in Dec 2019
Interview
They did an objective question round, 1.5 hour coding round, 1 hour interview round. Then they give a project to do data mgmt creation in spark for a consulting job!!! with average salary. Finally said, the client has stopped the slot and am I fine with different location. After wasting my time for 6 hours the HR does not even bother to reply. Bad experience and will let my friends know to avoid EPAM.
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.
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
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.