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Amazon Data Engineer Interview
Questions & Process

What 98 candidates said about the rounds, the
questions and how long the wait really is.

From 98 candidate reports · FREE TO READ

2.7Rounds average
30.6Day average
AverageTypical difficulty
68.4%Positive experience

Questions candidates reported

Quoted word for word from Amazon interview reports.

Engineering accounts for 10,860 of 98 reports, so company-wide questions may lean toward that function. Pick your role above for questions from your own loop.

How have you demonstrated Amazon’s Leadership Principles in your past work?

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Formats, difficulty and experience

Across all 98 Amazon interview reports.

Question formats

Technical34.8%
Behavioral25.1%
Coding24.7%
System Design8.2%
Other7.1%

Interview difficulty

Easy8.2%
Average64.3%
Difficult27.6%

Candidate experience

Neutral22.4%
Positive68.4%
Negative9.2%

Reports by job function

Engineering10,860
Operations1,308
Product1,188
Sales1,054
Other762
Marketing542

The interview process

Described in candidates’ own words.

It was a phone screen, pretty simple setup, I applied online and got an email from the recruiter. Had a 30min recruiter call and then they scheduled a phone screen. Phone screen was video enabled, was asked 3 coding questions, python 1 medium and sql 2 (recursive cte and leetcode hard). They asked about data modeling design and I gave some basic solution. I didnt go to the next round, but it was a learning opportunity.Candidate-reported process
Asked around five PySpark questions, plus a basic coding question (LC easy-medium). Main focus is on LPs and behavior, need to finish the coding in the time limit while keeping good communication.Candidate-reported process
Online assessment with HackerRank, 2 round interview one technical and another behaviorial round, offer will be presented once we get through and pass their benchmark. It’s easy-med Leetcode SQL question, window functions, CTEs.Candidate-reported process
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