Amazon

Data Engineer II Interview Experience

March 1, 2022

Positive ExperienceGot Offer

Process

I applied through LinkedIn and received a phone call from the recruitment team.

There were three rounds:

The first two rounds consisted of technical questions and coding.
The third round was a five-hour interview, comprised of five one-hour interviews with different senior-level managers.

Some interviewers focused solely on behavioral questions, emphasizing Leadership Principles, while others asked technical questions and coding challenges, covering topics like SQL, Python, Data Modeling, and ETL.

Questions

Unfortunately, I can't provide specific interview questions as I have signed an NDA.

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Interview Statistics

The following metrics were computed from 4 interview experiences for the Amazon Data Engineer II role in United States.

Success Rate

25%

Pass Rate

Amazon's interview process for their Data Engineer II roles in the United States is very selective, failing most engineers who go through it.

Experience Rating

Positive50%

Neutral25%

Negative25%

Candidates reported having very good feelings for Amazon's Data Engineer II interview process in United States.

Amazon Work Experiences

Flexible hours, but with the expectation of working around the clock

Data Engineer II • Former Employee

San Francisco, California, United States

Pros: Flexibility in working hours; ability to work remotely.

Cons: Lots of bureaucracy, meetings, and reorganizations.

Flexible hours, but with the expectation of working around the clock

Data Engineer II • Former Employee

San Francisco, California, United States

Pros: Flexibility in working hours; ability to work remotely.

Cons: Lots of bureaucracy, meetings, and reorganizations.

Nice place to work

Data Engineer II • Current Employee

Seattle, Washington, United States

Pros: Peers Challenges in work Problem size

Cons: Work-life balance is difficult to manage.

Nice place to work

Data Engineer II • Current Employee

Seattle, Washington, United States

Pros: Peers Challenges in work Problem size

Cons: Work-life balance is difficult to manage.

People don't listen; they just believe in taking credit

Data Engineer II • Current Employee

Seattle, Washington, United States

December 23, 2020

Pros: Better pay (slightly), challenging projects.

Cons: A lot of discouragement, pushing to do things in a certain way, end-moment pressure when things don't happen. Think: 1 woman delivers the baby in 9 months, so 9 women can deliver it in one month, and if they are senior or principal, they can even do it in one day without having business context, even.

People don't listen; they just believe in taking credit

Data Engineer II • Current Employee

Seattle, Washington, United States

December 23, 2020

Pros: Better pay (slightly), challenging projects.

Cons: A lot of discouragement, pushing to do things in a certain way, end-moment pressure when things don't happen. Think: 1 woman delivers the baby in 9 months, so 9 women can deliver it in one month, and if they are senior or principal, they can even do it in one day without having business context, even.

Flexible hours, but with the expectation of working around the clock

Data Engineer II • Former Employee

San Francisco, California, United States

Pros: Flexibility in working hours; ability to work remotely.

Cons: Lots of bureaucracy, meetings, and reorganizations.

4.0
Flexible hours, but with the expectation of working around the clock
Data Engineer II • Former Employee
San Francisco, California, United States
May 20, 2021
Pros: Flexibility in working hours; ability to work remotely.
Cons: Lots of bureaucracy, meetings, and reorganizations.

Nice place to work

Data Engineer II • Current Employee

Seattle, Washington, United States

Pros: Peers Challenges in work Problem size

Cons: Work-life balance is difficult to manage.

4.0
Nice place to work
Data Engineer II • Current Employee
Seattle, Washington, United States
April 8, 2014
Pros: Peers Challenges in work Problem size
Cons: Work-life balance is difficult to manage.

People don't listen; they just believe in taking credit

Data Engineer II • Current Employee

Seattle, Washington, United States

December 23, 2020

Pros: Better pay (slightly), challenging projects.

Cons: A lot of discouragement, pushing to do things in a certain way, end-moment pressure when things don't happen. Think: 1 woman delivers the baby in 9 months, so 9 women can deliver it in one month, and if they are senior or principal, they can even do it in one day without having business context, even.

1.0
People don't listen; they just believe in taking credit
Data Engineer II • Current Employee
Seattle, Washington, United States
December 23, 2020
Pros: Better pay (slightly), challenging projects.
Cons: A lot of discouragement, pushing to do things in a certain way, end-moment pressure when things don't happen. Think: 1 woman delivers the baby in 9 months, so 9 women can deliver it in one month, and if they are senior or principal, they can even do it in one day without having business context, even.

Amazon Interview Questions

Two Sum

Find two numbers in a given array that add up to a specific target value, and return their indices. Essentially, you need to efficiently locate the pair that satisfies the sum requirement.

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

Reorganize String

Rearrange the characters in a given string such that no two adjacent characters are the same. If such an arrangement is possible, return it; otherwise, return an empty string.

StringsGreedy AlgorithmsArrays

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