I applied online, and a recruiter made an initial screening call. I was asked basic questions about databases and was then moved to the next round. The scheduling and process were fast because the recruiters provided their available schedules to us. I liked this very much, as it expedited the process compared to conventional email exchanges for scheduling.
The second round was more technical. After a brief introduction about my background, the interviewer jumped into writing queries for database problems. You have to be good in HIVE to solve these. The queries involved finding weekly averages, etc. I was able to solve them, but for one problem, I explained the process but didn't write the exact query.
I was called for an onsite, which involved back-to-back interviews with various engineers from different teams. They focused on my thought process and included many whiteboard exercises. I believe I did well, but one interviewer seemed unhappy with my machine learning experience. He was rude, and I did not like that at all. During the interview, he remained quiet instead of inquiring further about my background.
Overall, the interview process was good, except for those few instances.
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The following metrics were computed from 1 interview experience for the Groupon Big Data Engineer role in United States.
Groupon's interview process for their Big Data Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Candidates reported having mixed feelings for Groupon's Big Data Engineer interview process in United States.