Process
What is the difference between a data warehouse and a data lake?
In what scenarios would you choose one over the other in a data engineering project?
Questions
Introduction
Technical
PDMr round
Introduction
Technical
PDMr round
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Interview Statistics
The following metrics were computed from 57 interview experiences for the IBM Data Engineer role in India.
Success Rate
44%
Pass Rate
IBM's interview process for their Data Engineer roles in India is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive65%
Neutral19%
Negative16%
Candidates reported having very good feelings for IBM's Data Engineer interview process in India.
IBM Work Experiences
3.0
Good Environment, Projects Lacking
Data Engineer • Current Employee
Bangalore Rural, Karnataka, India
April 1, 2024
Pros: Good working environment, hybrid work structure.
Cons: Lack of good projects at times.
4.0
Helpful Exposure, Slow Growth
Data Engineer • Former Employee
Dallas-Fort Worth, Texas, United States
November 3, 2025
Pros: The exposure you get is helpful.
Cons: Growth is slow and work hours can be better.
4.0
Good Learning, Unfair Hikes
Data Engineer • Current Employee
Noida, Uttar Pradesh, India
October 6, 2022
Pros: Professional Work Environment
Good Learning Opportunities
Job Security
Less work stress
Cons: Hikes are very generalized and not according to an employee's capability and contribution.
- 3.0Good Environment, Projects LackingData Engineer • Current EmployeeBangalore Rural, Karnataka, IndiaApril 1, 2024Pros: Good working environment, hybrid work structure.Cons: Lack of good projects at times.
- 4.0Helpful Exposure, Slow GrowthData Engineer • Former EmployeeDallas-Fort Worth, Texas, United StatesNovember 3, 2025Pros: The exposure you get is helpful.Cons: Growth is slow and work hours can be better.
- 4.0Good Learning, Unfair HikesData Engineer • Current EmployeeNoida, Uttar Pradesh, IndiaOctober 6, 2022Pros: Professional Work Environment Good Learning Opportunities Job Security Less work stressCons: Hikes are very generalized and not according to an employee's capability and contribution.
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