DataSpark Senior Data Engineer interview questions
based on 2 ratings - Updated Jun 27, 2023
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Senior Data Engineer applicants have rated the interview process at DataSpark with 3 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 66.7% positive. This is according to Glassdoor user ratings.
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It was a smooth and quick process. 3 rounds within 1 week. Friendly interviewers and recruiter. There were whiteboard questions that need to be answered during the interview. Generally questions are asked professionally.
I applied through a recruiter. The process took 3 weeks. I interviewed at DataSpark (Singapore) in Aug 2018
Interview
Sharing session with 10-12 of the more senior members of the company. Mostly big-picture questions on system design, model refinement and validation. Some detailed questions on geographical computations and mobility analysis, which is one of their area of expertise.
The sharing session was followed on by 1:1 interviews with the directors.
Interview questions [1]
Question 1
How would you store trajectories in a database. How to deal with the fact that it is very hard to estimate the time required to develop a model.