Amazon
Mid
Data Engineer II building security data pipelines for Amazon's Veritas platform
This role sits inside Amazon Security (AmSec), building the data infrastructure behind Veritas — a foundational service that feeds security reviews, threat modeling, access control, and incident response across Amazon. Expect deep questions on ETL pipeline design, data modeling for petabyte-scale datasets, and the AWS big-data stack (Redshift, Glue, EMR, S3, Athena, Airflow).
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What this interview tests
- ETL pipeline design and data modeling at scale
- AWS big-data stack (Redshift, Glue, EMR, Athena, S3, Airflow)
- Data governance and confidential data handling
- SQL query optimization
- Using AI/LLMs to automate data engineering workflows
Common question themes
Design an ingestion pipeline for a new petabyte-scale data source
Tradeoffs between relational vs non-relational stores for security data
How to define a data governance strategy and schema for sensitive datasets
Debugging a broken or slow CI/CD data pipeline
Example of automating a manual data task with AI/LLM tooling
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