Expedia Group

Data Engineer II Interview Experience - New Delhi, India

October 1, 2020

Positive ExperienceGot Offer

Process

The interview process consisted of a total of 5 rounds.

There were 3 technical rounds with managers and other engineers, and 2 non-technical rounds with a TPM and a Director.

Technical interviews included live coding sessions.

The interview process was smooth and quick. The first round occurred with the manager in the first week. The remaining four rounds were completed in the second week, with two interviews conducted per day.

Salary discussions took place in the third week, followed by the offer letter process.

Questions

SQL Java Spark AWS

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Interview Statistics

The following metrics were computed from 1 interview experience for the Expedia Group Data Engineer II role in New Delhi, India.

Success Rate

100%

Pass Rate

Expedia Group's interview process for their Data Engineer II roles in New Delhi, India is incredibly easy as the vast majority of engineers get an offer after going through it.

Experience Rating

Positive100%

Neutral0%

Negative0%

Candidates reported having very good feelings for Expedia Group's Data Engineer II interview process in New Delhi, India.

Expedia Group Work Experiences

Frequent Layoffs Erode Benefits

Data Engineer II • Former Employee

Gurgaon, Haryana, India

Pros: 1. Good work-life balance. 2. Decent food options provided. 3. Stock benefits are offered.

Cons: 1. Mirrors decisions of other tech companies, like mass layoffs, without independent assessment. 2. Frequent mass layoffs (approximately every six months) seem to disregard individual performance. 3. Hires data engineers for backend software roles. 4. Low salary hikes. 5. Not recommended due to a high risk of layoff, despite good performance.

Frequent Layoffs Erode Benefits

Data Engineer II • Former Employee

Gurgaon, Haryana, India

Pros: 1. Good work-life balance. 2. Decent food options provided. 3. Stock benefits are offered.

Cons: 1. Mirrors decisions of other tech companies, like mass layoffs, without independent assessment. 2. Frequent mass layoffs (approximately every six months) seem to disregard individual performance. 3. Hires data engineers for backend software roles. 4. Low salary hikes. 5. Not recommended due to a high risk of layoff, despite good performance.

Coasting With Old Habits

Data Engineer II • Current Employee

Austin, Texas, United States

February 9, 2025

Pros: Good work-life balance. You can get away with coasting for a while.

Cons: Entrenched in old values and lots of reorganizations and stuff.

Coasting With Old Habits

Data Engineer II • Current Employee

Austin, Texas, United States

February 9, 2025

Pros: Good work-life balance. You can get away with coasting for a while.

Cons: Entrenched in old values and lots of reorganizations and stuff.

Good Work, Slow Growth

Data Engineer II • Former Employee

Bengaluru, Karnataka, India

Pros: Work is good. Recognition is good.

Cons: Salary growth is less, and there is less opportunity to grow.

Good Work, Slow Growth

Data Engineer II • Former Employee

Bengaluru, Karnataka, India

Pros: Work is good. Recognition is good.

Cons: Salary growth is less, and there is less opportunity to grow.

Frequent Layoffs Erode Benefits

Data Engineer II • Former Employee

Gurgaon, Haryana, India

Pros: 1. Good work-life balance. 2. Decent food options provided. 3. Stock benefits are offered.

Cons: 1. Mirrors decisions of other tech companies, like mass layoffs, without independent assessment. 2. Frequent mass layoffs (approximately every six months) seem to disregard individual performance. 3. Hires data engineers for backend software roles. 4. Low salary hikes. 5. Not recommended due to a high risk of layoff, despite good performance.

1.0
Frequent Layoffs Erode Benefits
Data Engineer II • Former Employee
Gurgaon, Haryana, India
May 5, 2025
Pros: 1. Good work-life balance. 2. Decent food options provided. 3. Stock benefits are offered.
Cons: 1. Mirrors decisions of other tech companies, like mass layoffs, without independent assessment. 2. Frequent mass layoffs (approximately every six months) seem to disregard individual performance. 3. Hires data engineers for backend software roles. 4. Low salary hikes. 5. Not recommended due to a high risk of layoff, despite good performance.

Coasting With Old Habits

Data Engineer II • Current Employee

Austin, Texas, United States

February 9, 2025

Pros: Good work-life balance. You can get away with coasting for a while.

Cons: Entrenched in old values and lots of reorganizations and stuff.

3.0
Coasting With Old Habits
Data Engineer II • Current Employee
Austin, Texas, United States
February 9, 2025
Pros: Good work-life balance. You can get away with coasting for a while.
Cons: Entrenched in old values and lots of reorganizations and stuff.

Good Work, Slow Growth

Data Engineer II • Former Employee

Bengaluru, Karnataka, India

Pros: Work is good. Recognition is good.

Cons: Salary growth is less, and there is less opportunity to grow.

4.0
Good Work, Slow Growth
Data Engineer II • Former Employee
Bengaluru, Karnataka, India
May 8, 2024
Pros: Work is good. Recognition is good.
Cons: Salary growth is less, and there is less opportunity to grow.

Expedia Group Interview Questions

Flip String to Monotone Increasing

You're given a binary string and need to find the minimum number of flips to make it monotone increasing (all 0s before all 1s). Determine the fewest changes required to achieve this ordered structure.

StringsDynamic Programming

Find the Smallest Divisor Given a Threshold

Given an array of numbers and a threshold, find the smallest divisor that ensures the sum of the divisions (ceiling) is less than or equal to the threshold. You need to efficiently search for this divisor.

ArraysBinary Search

Minimum Swaps to Group All 1's Together

Find the minimum number of swaps needed to group all 1's together in a binary array. Swaps can only happen between adjacent elements.

ArraysSliding Windows

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