Data Engineer, Amazon Live Data Engineering, Sciences and Analytics (DESA)
Core
Design and build durable, reusable data assets (metadata layers, shopper profiles, ML-ready datasets) for Amazon Live's shoppable video platform to serve executive reporting, model training, and downstream ranking systems.
Role type
Senior Data Engineer (Foundational Data Architecture)
Builds
Content metadata layers, cross-session shopper profiles, ML-ready feature datasets, and data quality monitoring pipelines.
Domain
E-commerce, Live Streaming, Video Analytics, Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Data modeling, Warehousing, ETL pipeline development, SQL
Preferred skills
AWS Redshift, AWS Glue, AWS Kinesis, Non-relational databases (Document, Key-Value, Graph, Column-family)
Technologies
AWS (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda), CI/CD (BDT/Maestro)
Responsibilities
Design and build content metadata layers unifying broadcast events and product catalogs; Build cross-session shopper profile datasets with rolling engagement metrics; Produce structured, ML-ready datasets for Applied Scientists and ranking systems; Own data quality with proactive monitoring and anomaly detection; Advance platform engineering maturity including CI/CD for ETL and AI-assisted code generation; Partner with Applied Scientists and MLEs to align data assets to model and serving needs.
Seniority
Senior, hands-on IC