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Job Description
Structured overview of role & requirementsAbout This Role
Build and automate data pipelines to transform raw operational supply chain data into trusted, per-distribution-center metrics.
Develop end-to-end data projects translating business requirements into technical data-flow architectures and analytic solutions.
Collaborate with IT, warehouse, transportation, analytics teams, and business leaders to enable faster, data-driven supply chain performance insights.
Minimum Requirements
3+ years of relevant data engineering experience including data integration, ETL/ELT, and data modeling for analytics.
Strong experience with Databricks or equivalent Spark/Hive-based lakehouse platforms and Jupyter notebooks.
Expertise in relational databases (Oracle, SQL Server) including schema design and dimensional data modeling.
Bachelor’s degree in computer science, Mathematics, technical field, or equivalent work experience.
Ideal Candidate Profile
Experienced in end-to-end supply chain data environments involving receiving, warehouse, transportation, and inventory systems.
Proficient in building scalable, unified data lakehouse architectures aggregating diverse operational data.
Skilled at engaging cross-functional stakeholders to deliver actionable business insights from complex data pipelines.