Amazon

Data Engineer Interview Experience

September 14, 2022

Negative ExperienceNo Offer

Process

I submitted my resume on LinkedIn. The recruiter sent me an email and asked me a few questions, then I was scheduled for the next interview. If you have strong knowledge of SQL and Python, then you should be okay.

Questions

Do you need, or will you need in the future, any immigration-related support or sponsorship from Amazon in order to begin or continue employment with Amazon?
Are you currently actively interviewing? Do you have any deadlines or final interviews?
What are your total compensation expectations (you do not need to provide current compensation)?
Where are you physically located? I currently have a couple of positions offering in NY/Arlington/LA/Boulder. Would you be willing to relocate after the COVID pandemic?
How many years of experience do you have in the BI space?
Is your day-to-day work involved with ETL/Data Warehouse?
Do you have experience building dashboards or data visualizations? Please describe.
Give us an example of how you’ve used data visualization tools. Please do not provide confidential information.
Please rate yourself (1-10, with 10 being expert) in the following programming languages: Python/R. Do you have experience using SQL in ETL or data analysis?
What is your preferred scripting language?
How many years of experience do you have using statistics in data analysis? How is your time broken down (by percentage) among your main responsibilities?
What is your experience with query optimization/performance tuning?
Describe how you have used data to inform decision making (if any). Do you have any project lead and management experience?

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Interview Statistics

The following metrics were computed from 98 interview experiences for the Amazon Data Engineer role in United States.

Success Rate

27%

Pass Rate

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

Experience Rating

Positive60%

Neutral28%

Negative12%

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

Amazon Work Experiences

Great Learning, No Cons

Data Engineer • Current Employee

Sydney, New South Wales, Australia

Pros: Learning scope is very good.

Cons: I have not found cons so far.

Great Learning, No Cons

Data Engineer • Current Employee

Sydney, New South Wales, Australia

Pros: Learning scope is very good.

Cons: I have not found cons so far.

My experience at Amazon

Data Engineer • Former Employee

September 18, 2023

Pros: At Amazon, the team is incredibly supportive, providing clear explanations on all matters. Their documentation is consistently exceptional.

Cons: The work-life balance tends to be skewed. There's often an expectation to complete a week's worth of tasks in one or two days.

My experience at Amazon

Data Engineer • Former Employee

September 18, 2023

Pros: At Amazon, the team is incredibly supportive, providing clear explanations on all matters. Their documentation is consistently exceptional.

Cons: The work-life balance tends to be skewed. There's often an expectation to complete a week's worth of tasks in one or two days.

Not the best company

Data Engineer • Current Employee

Cupertino, California, United States

Pros: Big company, lots of opportunities.

Cons: The future depends on your manager; it's a one-man show. Growing to L6 and above is a miracle unless you work day and night and weekends.

Not the best company

Data Engineer • Current Employee

Cupertino, California, United States

Pros: Big company, lots of opportunities.

Cons: The future depends on your manager; it's a one-man show. Growing to L6 and above is a miracle unless you work day and night and weekends.

Great Learning, No Cons

Data Engineer • Current Employee

Sydney, New South Wales, Australia

Pros: Learning scope is very good.

Cons: I have not found cons so far.

5.0
Great Learning, No Cons
Data Engineer • Current Employee
Sydney, New South Wales, Australia
April 24, 2021
Pros: Learning scope is very good.
Cons: I have not found cons so far.

My experience at Amazon

Data Engineer • Former Employee

September 18, 2023

Pros: At Amazon, the team is incredibly supportive, providing clear explanations on all matters. Their documentation is consistently exceptional.

Cons: The work-life balance tends to be skewed. There's often an expectation to complete a week's worth of tasks in one or two days.

5.0
My experience at Amazon
Data Engineer • Former Employee
September 18, 2023
Pros: At Amazon, the team is incredibly supportive, providing clear explanations on all matters. Their documentation is consistently exceptional.
Cons: The work-life balance tends to be skewed. There's often an expectation to complete a week's worth of tasks in one or two days.

Not the best company

Data Engineer • Current Employee

Cupertino, California, United States

Pros: Big company, lots of opportunities.

Cons: The future depends on your manager; it's a one-man show. Growing to L6 and above is a miracle unless you work day and night and weekends.

3.0
Not the best company
Data Engineer • Current Employee
Cupertino, California, United States
June 23, 2021
Pros: Big company, lots of opportunities.
Cons: The future depends on your manager; it's a one-man show. Growing to L6 and above is a miracle unless you work day and night and weekends.

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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