Design, build, test, and maintain scalable data pipelines from priority source systems into the CBS cloud/lakehouse environment.
Integrate data from enterprise and functional systems including ERP, MES, PLM, QMS, SI/test data, SharePoint/file repositories, Azure SQL, and other business platforms.
Implement ETL/ELT patterns, data transformations, and medallion architecture layers including raw, cleaned, curated, and business-ready datasets.
Develop data quality checks, validation logic, reconciliation methods, exception handling, and monitoring to ensure trusted and reliable data products.
Support secure on-prem-to-cloud data integration patterns including database/API connectivity, file-based ingestion, scheduled refreshes, and batch or event-based processing.
Partner with the IS Lead to develop data models, semantic layers, standardized KPIs, and reusable data assets that support dashboards, analyt...
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