Data Engineer, Amazon Ads

Job summary

DESCRIPTION This is a ground-up, greenfield build — Finance for one of Amazon Ads' newest bets in the agentic space. No legacy pipelines, no inherited dashboards, no pattern to follow. If you're energized by shaping data infrastructure from zero to one inside a fast-moving org, keep reading.

Benefits

Qualifications

• Strong dimensional data modeling judgment — fact/dim design, SCDs, and the experience to make the right denormalization, partitioning, and lifecycle calls without supervision
• AI-native experience for automation and defect/opportunity identification using
• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• Experience with data modeling, warehousing and building ETL pipelines
• PREFERRED
• Experience with AWS
• and location.
• Amazon also offers comprehensive

Responsibilities

• Own it end-to-end — set the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layer
• Build the

Skills

Degrees

Industry

Company size