Amazon Data Engineer Interview Questions
The questions to prepare for a Amazon Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Use a deque and running statistics to calculate rolling telemetry averages and detect outliers in linear time.
AmazonValidate nested API payload brackets using a stack and matching-pair lookup in linear time.
AmazonAggregate numeric record values by user with a single-pass dictionary, matching a common PySpark groupBy transformation.
AmazonAnalyze normalization levels and decompose a denormalized transaction table into customer, product, and sales relations in 3NF.
AmazonTests ability to write advanced SQL for deduplication and correct aggregation logic.
AmazonEvaluates window function proficiency for ranking and per-group top-N retrieval.
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.
AmazonDescribe your coding experience and explain how you identify, clean, validate, and monitor unreliable data in production pipelines.
AmazonExplain how you design, operate, and recover real-time data pipelines with reliable processing, quality checks, and low latency.
AmazonSign up to see every question
Create a free account to unlock this list and practice real interview questions.