Supply Chain Data Engineer
Core
Build automated, production-grade data pipelines and curate massive datasets to feed multi-billion-dollar simulation engines for unified supply chain forecasting and planning.
Role type
Senior IC supply chain data engineer
Builds
Automated ETL/ELT pipelines, data tables, views, and schemas for simulation engines
Domain
Semiconductor supply chain / Advanced planning systems
Deliverable
production ML models
Required skills
SQL, Python (Pandas), ETL/ELT pipeline architecture, relational databases, data warehousing, data quality validation, legacy system migration
Preferred skills
Semiconductor supply chain domain knowledge, mathematical modeling environments, workflow orchestration (Apache Airflow, dbt), cloud architecture (AWS, Azure, GCP)
Technologies
SQL, Python, Pandas, Snowflake, BigQuery, SAP, Oracle, Apache Airflow, dbt, MATLAB
Responsibilities
Compose and scale automated data pipelines using SQL and Python; serve as primary guardian of data quality via automated validation scripts; architect and maintain optimized data tables and schemas; migrate legacy decentralized planning workflows to centralized automated environments; collaborate with engineering and procurement to standardize core supply chain metrics
Seniority
Senior, hands-on IC
