Data Engineer II
Core
Design, build, and maintain analytical platforms, data clusters, and ETL pipelines to support large datasets and computing power for brand protection and product authenticity.
Role type
Senior IC Data Engineer
Builds
Analytical platforms, data clusters, and scalable data integration pipelines
Domain
E-commerce / Brand Protection / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, warehousing, ETL pipeline development, SQL, data integrity, test design, analysis, validation, documentation
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, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, SQL
Responsibilities
Design and maintain data clusters providing access and insights for business needs; Build robust and scalable data integration (ETL) pipelines; Collaborate with Analytics team to implement advanced analytics and GenAI algorithms; Interface with technology teams to extract, transform, and load data from various sources; Author and evangelize Data handling best practices
Seniority
Mid-Senior, hands-on IC
