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Data Engineer - WW Pricing Data & Analytics - Amazon.com
Data Engineer
Data Engineer responsible for building scalable data models and ML infrastructure that power Amazon’s global pricing algorithms, leveraging Python, SQL, Spark, and AWS to deliver real‑time pricing insights for millions of products.
About the role
Key Responsibilities
- Design, develop, and maintain large‑scale data pipelines that ingest, transform, and store pricing data across multiple regions.
- Build and optimize Spark jobs and SQL queries to support real‑time pricing recommendations and batch analytics.
- Collaborate with data scientists to create ML‑ready datasets and feature stores for pricing models.
- Implement robust data quality checks, monitoring, and alerting to ensure data reliability for downstream systems.
- Document data models, pipeline logic, and best practices for the WW Pricing Data & Analytics team.
Requirements
- 3+ years of experience in data engineering, preferably in a high‑volume e‑commerce environment.
- Proficiency in Python, SQL, and Spark for data processing and transformation.
- Hands‑on experience with AWS services such as Redshift, S3, Glue, and EMR.
- Strong understanding of data modeling, ETL design, and performance tuning.
- Excellent communication skills and ability to work cross‑functionally with data scientists and product teams.
Skills
pythonsqlawsmachine learning