IBM

Data Engineer Interview Experience - India

April 1, 2021

Positive ExperienceGot Offer

Process

Simple and smooth. The initial 1-hour tech evaluation round was based on technology, followed by managerial and/or client discussions, and then HR discussions. Offer initiation and the process were also smooth and fast.

Questions

Snowflake Agile Data Management Leadership

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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

Good Work, Slow Growth

Data Engineer • Current Employee

Pune, Maharashtra, India

Pros: Work-life balance. A good work environment.

Cons: Slow financial growth. No cab facility.

Good Work, Slow Growth

Data Engineer • Current Employee

Pune, Maharashtra, India

Pros: Work-life balance. A good work environment.

Cons: Slow financial growth. No cab facility.

Great Growth, Tiny Office

Data Engineer • Current Employee

November 6, 2023

Pros: Great ambiance and good possibilities to grow.

Cons: Maybe the office spaces are too little.

Great Growth, Tiny Office

Data Engineer • Current Employee

November 6, 2023

Pros: Great ambiance and good possibilities to grow.

Cons: Maybe the office spaces are too little.

Good team members struggle for workflow

Data Engineer • Current Employee

Rochester, Minnesota, United States

August 11, 2021

Pros: Team members are friendly and dedicated to move projects forward.

Cons: Lack of projects means little work to do.

Good team members struggle for workflow

Data Engineer • Current Employee

Rochester, Minnesota, United States

August 11, 2021

Pros: Team members are friendly and dedicated to move projects forward.

Cons: Lack of projects means little work to do.

Good Work, Slow Growth

Data Engineer • Current Employee

Pune, Maharashtra, India

Pros: Work-life balance. A good work environment.

Cons: Slow financial growth. No cab facility.

4.0
Good Work, Slow Growth
Data Engineer • Current Employee
Pune, Maharashtra, India
March 14, 2024
Pros: Work-life balance. A good work environment.
Cons: Slow financial growth. No cab facility.

Great Growth, Tiny Office

Data Engineer • Current Employee

November 6, 2023

Pros: Great ambiance and good possibilities to grow.

Cons: Maybe the office spaces are too little.

5.0
Great Growth, Tiny Office
Data Engineer • Current Employee
November 6, 2023
Pros: Great ambiance and good possibilities to grow.
Cons: Maybe the office spaces are too little.

Good team members struggle for workflow

Data Engineer • Current Employee

Rochester, Minnesota, United States

August 11, 2021

Pros: Team members are friendly and dedicated to move projects forward.

Cons: Lack of projects means little work to do.

4.0
Good team members struggle for workflow
Data Engineer • Current Employee
Rochester, Minnesota, United States
August 11, 2021
Pros: Team members are friendly and dedicated to move projects forward.
Cons: Lack of projects means little work to do.

IBM Interview Questions

Integer to Roman

Convert a given integer into its Roman numeral representation. You need to understand the mapping between integer values and Roman symbols to perform the conversion accurately.

ArraysStringsGreedy Algorithms

Exclusive Time of Functions

Calculate the exclusive execution time for each function given a series of log entries marking function calls and returns. The exclusive time is the time spent within a function, not including time spent in its callees.

Best Time to Buy and Sell Stock

You're given daily stock prices. Find the maximum profit you can make by buying and selling the stock once. You must buy before you sell.

ArraysDynamic Programming

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