Process
The interview difficulty was medium. Questions were mostly on big data concepts, Spark, Scala, data warehousing, and cloud services like AWS Glue and Redshift.
There were working problems in Scala and PySpark.
SQL was also asked, with two given datasets.
Questions
How do you optimize using Spark?
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Interview Statistics
The following metrics were computed from 75 interview experiences for the Capgemini Data Engineer role in India.
Success Rate
56%
Pass Rate
Capgemini's interview process for their Data Engineer roles in India is on the easier side as most engineers get an offer after going through it.
Experience Rating
Positive72%
Neutral13%
Negative15%
Candidates reported having very good feelings for Capgemini's Data Engineer interview process in India.
Capgemini Work Experiences
3.0
Good Projects, Bad Retention
Data Engineer • Current Employee
September 12, 2023
Pros: You can learn so many things if you are in a good project.
Cons: The retention policy is not good.
3.0
Company culture and feedback
Data Engineer • Current Employee
Toronto, Ontario, Canada
February 25, 2025
Pros: Relaxed work environment.
Not micromanaged.
Cons: No proper direct manager who you report to and is responsible for your ratings and appraisals.
Everything is client dependent.
3.0
Comfortable place to grow.
Data Engineer • Current Employee
April 25, 2022
Pros: Site with a good atmosphere for growth where learning is encouraged.
Cons: Compensation is rarely commensurate with experience and responsibilities.
There are times when remote work is used to take more of your time than you should.
- 3.0Good Projects, Bad RetentionData Engineer • Current EmployeeSeptember 12, 2023Pros: You can learn so many things if you are in a good project.Cons: The retention policy is not good.
- 3.0Company culture and feedbackData Engineer • Current EmployeeToronto, Ontario, CanadaFebruary 25, 2025Pros: Relaxed work environment. Not micromanaged.Cons: No proper direct manager who you report to and is responsible for your ratings and appraisals. Everything is client dependent.
- 3.0Comfortable place to grow.Data Engineer • Current EmployeeApril 25, 2022Pros: Site with a good atmosphere for growth where learning is encouraged.Cons: Compensation is rarely commensurate with experience and responsibilities. There are times when remote work is used to take more of your time than you should.
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