Role Overview
The Data Engineer will design and build durable, well-modeled datasets that serve three consumers at once: the BIE for executive reporting, the Applied Scientists for model training, and downstream ML systems for feature consumption.
What You Will Do
Key job responsibilities include designing and building a content metadata layer, building cross-session shopper profile datasets, and producing structured, ML-ready datasets that feed Applied Scientists’ models.
Why It Might Be a Fit
The role requires a high-ownership individual who can move fast across a broad surface, partnering daily with scientists, MLEs, DEs, and the BIE to align data assets to model, serving, and reporting needs.
Requirements
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Benefits
- Comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
- Sign-on payments and restricted stock units (RSUs)
To apply for this job please visit www.amazon.jobs.
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