Big Data Engineer applicants have rated the interview process at Morgan Stanley with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 62% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Morgan Stanley as a Big Data Engineer according to 1 Glassdoor interviews include:
Drug test: 33%
Presentation: 33%
Phone interview: 33%
Here are the most commonly searched roles for interview reports -
Three round process within 2 weeks process. Interviews and process were smooth and communication between the staff was amazing, Excellent and rapid process, results were published soon after few days after each rounds,
Interview questions [1]
Question 1
SQL/Python related question for logic building. Another round consists of apache spark framework and Azure cloud and few questions over my project.
I applied through a recruiter. I interviewed at Morgan Stanley (New York, NY) in Jul 2017
Interview
As usual phone and face to face, intensive questions on the new technologies and why and how it has being applied to the different environment and if you are personally involved which part of the processes.
Interview questions [1]
Question 1
Given the current DW and volume of data, what's best solutions overall using Hadoop platform?