Data Engineer applicants have rated the interview process at Prudential with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 60.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 30 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Prudential overall takes an average of 26 days.
Common stages of the interview process at Prudential as a Data Engineer according to 2 Glassdoor interviews include:
Background check: 20%
Group panel interview: 20%
Phone interview: 20%
Drug test: 20%
One on one interview: 20%
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Very quick and efficient. Everyone is extremely friendly. Only downside is not receiving feedback after a technical. They also took a really long time to get back to me on whether I’d e going to the next stage.
Interview questions [1]
Question 1
Giving you 10 rows of data in separate files and being asked to estimate their regression.
I applied online. I interviewed at Prudential (Malvern, PA)
Interview
only one round which lasted for around 60 mins. This is for a contract position, Interview by total three people (team leads and manager) There were no coding questions in the interview. behavioral questions were asked how I have improved the process, how I managed difficult situation, etc.
Interview questions [1]
Question 1
intro, explain about previous projects, how the spark job run time is optimized, experience in data lake creation.
I applied online. The process took 4 weeks. I interviewed at Prudential (New York, NY) in May 2023
Interview
Had a phone screen, an easy coding challenge, and then four "on site" interviews. I was applying for the Seattle office which is technically the HQ, but it seems like most people are in Toronto. Also, it sounds like a pretty scummy company - their business model is spam calls.
Interview questions [1]
Question 1
Questions about coding, SQL, database design, data science