Amazon
Mid
Build microservices for Amazon Ads' petabyte-scale central data lake (Analytics & Data Management team)
This SDE role is on the Analytics & Data Management (ADM) team within Ads AI Core Infra, which owns the central data lake unifying petabytes of advertising data (campaigns, ad-serving, billing, clicks, impressions) for self-service analytics across the org. You'll design and deploy Java/AWS microservices and work with big-data tools like Spark, EMR, and Athena as the team rebuilds its data lake for 5x growth. Requires 3+ years of professional software development and 2+ years of design/architecture experience.
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Free · a live voice mock calibrated to this exact role
What this interview tests
- Petabyte-scale data lake / big-data pipeline design
- Java and AWS microservice architecture
- Big-data tooling: Spark, EMR, Athena
- Operational ownership: monitoring data availability and quality
- Cross-functional requirements gathering with product/program managers
Common question themes
Describe a large-scale data pipeline you built and where it hit scaling limits
Walk through designing a Java/AWS microservice for a data-processing pipeline
How do you ensure testability and low operational footprint in your code
Tell me about automating monitoring for data availability or quality
How do you translate requirements from Product/Program Managers into a technical design
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