Amazon data engineer interview guide
Amazon data engineering loops combine technical rounds with behavioral questions tied to the Leadership Principles. Expect warehousing and star-schema questions built around orders, sellers and shipments.
Interview rounds
SQL round
Aggregations, deduplication, ranking and slowly changing dimensions on order and customer data.
Practice SQL problems →Data modeling round
Build a star schema for marketplace sales — fact grain, dimensions and SCD handling.
Practice data modeling →Pipeline / system design round
Design an ETL/ELT pipeline at scale, covering incremental loads and failure recovery.
Practice system design →Python / coding round
Practical scripting: parsing files, transforming records and handling edge cases.
Practice Python problems →Sample Amazon interview questions
- Deduplicate order events, keeping the latest record per order.
- Design a data model for marketplace sales analytics.
- Track customer address history with an SCD Type 2 table.
Tips to pass
- Prepare a STAR story for each Leadership Principle.
- State the grain of every fact table out loud.
- Explain trade-offs between full and incremental loads.
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