Data Engineer, Whole Foods Market, E-commerce Analytics
Core
Architecting robust data infrastructures and developing advanced data pipelines to support Whole Foods Market's digital presence and data-driven decision making.
Role type
Senior Data Engineer (E-commerce Analytics)
Builds
Data infrastructure, ETL pipelines, and cloud computing resources for analytics and machine learning use cases.
Domain
Retail / E-commerce / Cloud Data Engineering
Required skills
Data modeling, warehousing, ETL pipeline development, distributed systems, software engineering best practices, data management fundamentals
Preferred skills
AWS technologies (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM), non-relational databases (object storage, document, key-value, graph, column-family)
Technologies
AWS, Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM, non-relational databases (via careerplan.io/jobs/10454941-data-engineer-whole-foods-market-e-commerce-analytics-at-amazon)
Responsibilities
Manage and optimize cloud computing resources on AWS; Collaborate with Business Intelligence Engineers on data reporting and validation; Collaborate with Data Scientists to implement advanced analytics algorithms; Drive architecture and technology decisions for user experience; Develop knowledge of Amazon's data sources for specific use cases; Propose next-generation data architecture strategies and storage solutions.
Seniority
Senior, hands-on IC