Big Data Engineer Interview Experience - Pune, Maharashtra
July 1, 2023
Neutral ExperienceNo Offer
Process
Technical 1st round. I attended only one, so I don't know about it. The questions were related to Scala, Spark, and AWS. The questions were average to attend the interview. I was not selected for the next round, so I have no idea about it.
Questions
What is implicits?
What is an accumulator?
What is a broadcast variable?
Partition and bucketing.
Coalesce and redistribution.
RDD and DataFrame.
What is mapping?
What is val and var?
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Capgemini Big Data Engineer role in Pune, Maharashtra.
Success Rate
50%
Pass Rate
Capgemini's interview process for their Big Data Engineer roles in Pune, Maharashtra is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive50%
Neutral50%
Negative0%
Candidates reported having very good feelings for Capgemini's Big Data Engineer interview process in Pune, Maharashtra.
Capgemini Work Experiences
5.0
ICAP - Stable Company with Global Exposure
Big Data Engineer • Current Employee
Pune, Maharashtra, India
September 18, 2025
Pros: Work-Life Balance: Frequently praised across roles and locations.
Training for Freshers: Strong onboarding and domain-specific training.
Job Security: Stable employment with fewer layoffs compared to peers.
Global Exposure: Opportunities to work with international clients and technologies.
Learning & Certifications: Access to free learning portals and certifications.
Supportive Culture: Many teams and managers are encouraging and collaborative.
Cons: Low Salary & Hikes: Compensation often below market standards; poor increments.
Slow Career Growth: Promotions are infrequent and not always merit-based.
Bench Management Issues: Long bench periods and random project allocations.
Limited Project Variety: Many employees placed in support roles despite having development skills.
Management & Communication Gaps: Some teams report unclear goals and poor leadership.
3.0
Akshay
Big Data Engineer • Current Employee
Pune, Maharashtra, India
November 29, 2024
Pros: Team and Capgemini managers are good.
Cons: Salary growth and promotion are very bad.
4.0
Depends on project
Big Data Engineer • Current Employee
Pune, Maharashtra, India
September 2, 2021
Pros: Company policy is very good.
Cons: It totally depends on the project. Sometimes the worst project...
- 5.0ICAP - Stable Company with Global ExposureBig Data Engineer • Current EmployeePune, Maharashtra, IndiaSeptember 18, 2025Pros: Work-Life Balance: Frequently praised across roles and locations. Training for Freshers: Strong onboarding and domain-specific training. Job Security: Stable employment with fewer layoffs compared to peers. Global Exposure: Opportunities to work with international clients and technologies. Learning & Certifications: Access to free learning portals and certifications. Supportive Culture: Many teams and managers are encouraging and collaborative.Cons: Low Salary & Hikes: Compensation often below market standards; poor increments. Slow Career Growth: Promotions are infrequent and not always merit-based. Bench Management Issues: Long bench periods and random project allocations. Limited Project Variety: Many employees placed in support roles despite having development skills. Management & Communication Gaps: Some teams report unclear goals and poor leadership.
- 3.0AkshayBig Data Engineer • Current EmployeePune, Maharashtra, IndiaNovember 29, 2024Pros: Team and Capgemini managers are good.Cons: Salary growth and promotion are very bad.
- 4.0Depends on projectBig Data Engineer • Current EmployeePune, Maharashtra, IndiaSeptember 2, 2021Pros: Company policy is very good.Cons: It totally depends on the project. Sometimes the worst project...
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