Amazon Services Data Engineer Interview Questions
The questions to prepare for a Amazon Services Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Use CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.
Amazon ServicesExplain how subqueries help solve filtering, aggregation, and comparison problems in SQL.
Amazon ServicesExplain how SQL is used to clean, aggregate, and structure dashboard-ready metrics from raw transactional data.
Amazon ServicesCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
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Meta ITUse joins, aggregation, and CASE expressions to find Amazon Services shifts missing hourly productivity thresholds over 30 days.
Amazon ServicesDesign a monitoring and alerting approach for a mission critical pipeline, covering system health, data quality, and operational response.
Amazon ServicesSet up pipeline monitoring and alerting that catches critical failures quickly while limiting noisy alerts.
Amazon ServicesApproach for maintaining data quality and integrity across ETL pipelines.
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Tests how you structure solutions, explain tradeoffs, and implement graph/DFS algorithms.
Amazon ServicesAssesses your ability to handle grid-based traversal problems with correct edge-case handling.
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