Process
The interview process for the Data Engineer role at Amazon was well-structured and focused on both technical and behavioral aspects.
It started with an online assessment, followed by phone and final virtual interviews.
Technical questions covered:
- SQL
- Python
- Data modeling
- Big data tools like Spark and AWS
Behavioral rounds were heavily based on Amazon’s Leadership Principles.
The interviewers were professional and helpful, often guiding you if you were on the right track.
Overall, it was a challenging yet rewarding experience that tested both problem-solving and communication skills.
Being well-prepared with STAR-format examples and a strong foundation in data engineering concepts is key.
Questions
Can you explain the difference between normalization and denormalization in database design?
When would you choose one over the other?
Was this helpful?
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
- 5.0Great place to learnData Engineer • Current EmployeeSeattle, Washington, United StatesJanuary 1, 2023Pros: Great learning opportunity, competitive salary for entry positions.Cons: Lower benefits than industry standard
- 5.0Great Learning, Unstable CompanyData Engineer • Current EmployeeNew York, New York, United StatesFebruary 2, 2024Pros: Learning new things Good benefitsCons: Lack of job security in the company.
- 5.0Great Culture, Some PoliticsData Engineer • Current EmployeeParis, FranceApril 5, 2024Pros: Good culture. Nice benefits. Recommended.Cons: can be political and competitive sometimes.
Amazon Interview Questions
