Data Engineer applicants have rated the interview process at NIKE with 3.3 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 74% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 32 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at NIKE overall takes an average of 23 days.
Common stages of the interview process at NIKE as a Data Engineer according to 6 Glassdoor interviews include:
One on one interview: 38%
Presentation: 13%
Skills test: 13%
Phone interview: 13%
Drug test: 13%
Personality test: 13%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. I interviewed at NIKE (Bangalore Rural) in Oct 2024
Interview
First Round: Hr Call
Q. Introduce yourself, Previous role, achievement and current role alignment, Salary excpectations.
Second Round: Technical Round
Q. SQL Query (Advanced Level), Apache Spark, ETL related Questions, Specific projects and problems solved in previous role.
Interview questions [1]
Question 1
Q. SQL Query (Advanced Level), Apache Spark, ETL related Questions, Specific projects and problems solved in previous role.
I applied through a staffing agency. The process took 2 weeks. I interviewed at NIKE (Bengaluru) in May 2025
Interview
Had 2 rounds - 1st one was general questions about my role and a few behavioural questions
2nd round - the interviewer didn’t even go through with the round because he thought my experience was not fitting seeing my resume
I feel like the hiring process was unfair in the last round. I received an interviewer where we had a language barrier. I used sophisticated grammar that he couldn’t understand, and his accent was something that I could not understand.
The interview was highly technical, focusing on databases, SQL optimization, and algorithms. I had to explain SQL queries, partitioning strategies, and indexing techniques. There were also questions about Python, particularly decorators and generators.