It was a three-round process, excluding the HR round. There were two technical rounds (testing Python > SQL > SPARK) and one techno-managerial round with the hiring manager. In this round, they went in-depth into your projects and the tech stack you have worked on, from basics to scenario-based questions.
Interview questions [1]
Question 1
About SQL joins and it's respective output. Spark architecture and how it works.
Case studies and Coding . Behavioral questions as well
It is good.
I prepared case studies from Case interviews Cracked youtube channel.
For COding its Python & SQL. For Behavioral, Its basic strengths & weaknesses. The tough time you had faced..etc
It contains 2 rounds of technical.
1st is average 2nd is managerial with technical.
Questions werw majorly the definitions and its use case on the theory side however practical designing questions and python was expected to be more strong
Fractal interviews FAQs
Data Engineer applicants have rated the interview process at Fractal with 2.8 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 63% positive. To compare, the company-average is 60.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 12 days to get hired, when considering 8 user submitted interviews for this role. To compare, the hiring process at Fractal overall takes an average of 14 days.
Common stages of the interview process at Fractal as a Data Engineer according to 8 Glassdoor interviews include:
Phone interview: 21%
Skills test: 16%
Personality test: 11%
Group panel interview: 11%
Presentation: 11%
One on one interview: 11%
Other: 5%
IQ intelligence test: 5%
Drug test: 5%
Background check: 5%
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