Sr. Data Analytics Engineer
Core
Design and build scalable data models and pipelines to power global supply chain and merchandise planning decisions by integrating logistics, sourcing, and ERP data.
Role type
Senior individual contributor data analytics engineer
Builds
Trusted, reusable data products and analytical data products for supply chain visibility and planning
Domain
Retail supply chain, logistics, and merchandise planning
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Dimensional (Kimball) modeling, ELT/ETL tooling and workflow orchestration, relational databases and SQL, data quality monitoring, data governance, data visualization, high-quality code maintenance, AI-assisted development
Preferred skills
Snowflake, Apache Airflow, Tableau, supply chain/logistics data processes, logistics visibility tools, generative AI tools
Technologies
Snowflake, Apache Airflow, Tableau, SQL
Responsibilities
Integrate logistics and planning data from disparate sources into Snowflake; Build curated data products across data lake and EDW; Own data quality and integration integrity across upstream systems; Model data using Dimensional (Kimball) methodologies; Transform complex datasets into actionable insights; Perform data governance and security compliance; Validate data products via visualizations before release
Seniority
Senior, hands-on IC
