Data Engineer applicants have rated the interview process at MSD with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 63.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 26 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at MSD overall takes an average of 39 days.
Common stages of the interview process at MSD as a Data Engineer according to 3 Glassdoor interviews include:
Phone interview: 30%
Skills test: 30%
One on one interview: 20%
Background check: 10%
Group panel interview: 10%
Here are the most commonly searched roles for interview reports -
The process took 2 weeks. I interviewed at MSD (Hyderābād) in Mar 2025
Interview
MSD is setting up new office in HYD so they wanted DE with Mangarial responsibilites, I reached till 2nd stage, first interview was with the engineering manager, it was mostly about my exp, tools and how do i fit in the role, 2nd interview was more on the management side
Interview questions [1]
Question 1
Most of the questions about managament like
how do you priortize tasks?
how do you communicate with stakeholders?
some questions regarding my experience the databases, tools etc. some questions related to problem solving
overall they just wanted to test managrial abilities more than DE skills
I applied through an employee referral. I interviewed at MSD (Prague) in Mar 2025
Interview
Interview with the HR was strange. He called me 15min later than was scheduled
1st interview was with the manager and was great
2nd(final) interview was not that difficult, most of the questions were in the form of "where would you start" where i described the steps of the implementation
asked about the project you have done in the whole semester and questions will be based on that mostly. overall good interview experience and very fair and ethical means of conducting the interview. prepare for statistics well