Process
Review Easy & LeetCode Medium SQL/Python questions covering query optimization, indexing, ETL, data pipelines, performance tuning, joins, window functions, recursion, and real-world database scenarios.
Practice query execution plans, CTEs, stored procedures, error handling, partitioning strategies, and sharding techniques.
Focus on data transformation, schema design, and handling large datasets efficiently. Prepare for real-world SQL/Python problems in Data Engineering interviews with performance-focused solutions.
Questions
Why Amazon?
And why now?
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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
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
Candidates reported having very good feelings for Amazon's Data Engineer interview process in United States.
Amazon Work Experiences
- 4.0A good place to learn new thingsData Engineer • Former EmployeeBengaluru, Karnataka, IndiaApril 8, 2025Pros: Great exploration. Every day is a new day. They also provide cab facility.Cons: Not much; there are no cons.
- 4.0Friendly environment and good work cultureData Engineer • Current EmployeeHyderābād, Telangana, IndiaJune 3, 2021Pros: Managers are very supportive and help a lot in your career growth.Cons: A lot of development was done on internal tools, which cannot help you in the outside world.
- 5.0Great Resources, Stagnant GrowthData Engineer • Current EmployeeSeattle, Washington, United StatesNovember 21, 2018Pros: Very nice work environment. Abundant accessible resources to support all workers.Cons: Different to move up in your position.
Amazon Interview Questions
