Data Engineer - Supplier Quality Data Analytics
General Manufacturing(1 month ago)
About this role
A Data Engineer role within GM’s Supplier Quality Data Analytics Group responsible for designing and maintaining scalable data and analytics solutions to support supplier quality performance and reporting. The position operates in a modern data environment and partners with cross-functional stakeholders to deliver reliable data and drive continuous improvement across GM’s supply base.
Required Skills
- SQL
- Python
- ETL
- Data Modeling
- Databricks
- Microsoft Fabric
- Power BI
- Spark
- Azure
- Data Warehousing
+4 more
Qualifications
- Bachelor's Degree in Computer Science, Engineering, Information Systems, or Related Field
- Databricks Certification
- Dataloop Certification
- Microsoft Fabric Certification
About General Manufacturing
gm.comGeneral Motors is a global automotive company and the parent of Chevrolet, Buick, GMC and Cadillac, designing, engineering and manufacturing a full range of cars, trucks and SUVs. Beyond vehicles, GM provides connected and mobility services—such as OnStar and GM Energy—and invests in vehicle safety, autonomous driving and other advanced engineering. The company is pursuing electrification and sustainability through initiatives like its Journey to Zero Emissions while supporting communities and workforce development. For more than a century GM emphasizes quality, reliability and delivering a vehicle for every drive.
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