Business Intelligence Engineer II, Retail Business Service Data Engineering Team
Core
Build data pipelines, visualization dashboards, and ML models to resolve supply chain defects and optimize product selection for Amazon's global retail business.
Role type
Senior Business Intelligence Engineer (Data Engineering & Analytics)
Builds
ETL pipelines, data warehouses, ad-hoc analysis tools, and ML/statistical models for catalog defect resolution and selection optimization.
Domain
E-commerce / Retail / Supply Chain / Data Engineering
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
SQL, Python, data warehousing, ETL pipeline design, statistical analysis, data visualization, large-scale dataset management, AWS Redshift, NoSQL, R/SAS/Matlab
Preferred skills
Advanced Excel (VBA/macros), AWS EC2/DynamoDB/S3, data mining, presenting business performance metrics
Technologies
Redshift, Oracle, NoSQL, Tableau, Amazon QuickSight, Python, R, SAS, Matlab, AWS (EC2, DynamoDB, S3)
Responsibilities
Build and maintain ETL pipelines and data warehouses; create data visualization dashboards; deploy statistical and ML models; enable efficient ad-hoc queries; ensure data consistency across platforms; mentor team on analytics best practices.
Seniority
Senior, hands-on IC