Amazon Web Services Data Engineer Interview Questions

The questions to prepare for a Amazon Web Services Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

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Ensure Data Quality in MigrationMedium

Tests methods for validating, reconciling, and maintaining data integrity during legacy-to-cloud migrations.

Data Qualitydata integrity

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Handle Schema Evolution Safely

Hard

Evaluates strategies for backward compatibility, versioning, and safe rollout of schema changes.

data pipelinesschema evolutionreporting

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Design Streaming ETL to Warehouse

Hard

Assesses end-to-end design for streaming ingestion, transformation, and loading into a cloud warehouse.

ETL

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Find Top Event Sequences in a WindowMedium

Tests algorithmic thinking for extracting frequent sequences from event streams under time constraints.

Arrays

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Build Resilient Ingestion Error Handling

Medium

Evaluates ability to implement retries, backoff, idempotency, and failure handling for reliable ingestion.

error handlingdata ingestion

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Transform JSON Logs to Tables

Medium

Assesses Python parsing and transformation skills for converting semi-structured logs into analytics-ready tables.

json parsingpython

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Deduplicate Massive Datasets

Medium

Evaluates ability to design scalable deduplication logic across Python and SQL for large datasets.

deduplicationsqlpython

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Optimize Redshift Query at Scale

Hard

Assesses performance tuning strategies for large-scale Redshift workloads and query optimization.

Performance Tuningquery optimization

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