Very progressive, open-source tech. Invests heavily in technologists and innovation.
Daunting size, confusing org matrix.
I was interviewed at J.P. Morgan. First interview was comparatively easy, all basics of SQL and Spark were asked. The few questions were: 1. Spark architecture 2. Difference between bucketing and partitioning and a few easy SQLs. The second interv
Very straightforward. Two interviews with two VPs. One was very technical in nature and walked through some simple coding questions while the interviewer shared their screen. The next one was more abstract data engineering questions. Behavioral ques
I applied through the career site and was then contacted by the HR team. 1. Tele interview for initial screening (20 min). 2. Behavioral round with a VP (1 hr). 3. Technical round with 2 people (2 hr).
I was interviewed at J.P. Morgan. First interview was comparatively easy, all basics of SQL and Spark were asked. The few questions were: 1. Spark architecture 2. Difference between bucketing and partitioning and a few easy SQLs. The second interv
Very straightforward. Two interviews with two VPs. One was very technical in nature and walked through some simple coding questions while the interviewer shared their screen. The next one was more abstract data engineering questions. Behavioral ques
I applied through the career site and was then contacted by the HR team. 1. Tele interview for initial screening (20 min). 2. Behavioral round with a VP (1 hr). 3. Technical round with 2 people (2 hr).