Amazon Data Engineer Interview Questions
The questions to prepare for a Amazon Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Validate nested API payload brackets using a stack and matching-pair lookup in linear time.
AmazonUse a deque and running statistics to calculate rolling telemetry averages and detect outliers in linear time.
AmazonTests ability to design memory-efficient data processing pipelines for large S3 datasets.
AmazonAssesses SQL skills for sessionization and time-window logic using self-joins.
AmazonTests ability to write advanced SQL for deduplication and correct aggregation logic.
AmazonAssesses data modeling and SQL skills for normalization and schema transformation.
AmazonRank Amazon seller categories by completed revenue using joins, aggregation, and DENSE_RANK().
AmazonUse CTEs and window functions to calculate monthly running purchase averages and rank Amazon users by completed purchase frequency.
AmazonUse conditional aggregation and HAVING to find Amazon customers with more than three transactions in both 2019 and 2020.
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Evaluates hands-on data preparation skills and coding approach for messy data.
AmazonEvaluates experience designing pipelines for low-latency or streaming use cases.
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