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About the Role:
We are seeking for a Data Engineer to drive automation, data integration, and process optimization. This is a greenfield opportunity—you will architect and build scalable data pipelines from the ground up, ensuring master data quality across manufacturing systems, PLM, ERP, and supplier data.
What you will do:
Design and build ETL/ELT pipelines using Python, SQL, Apache Spark, and Delta Lake.
Integrate data from diverse sources: PLM systems, SAP ERP, databases, and APIs.
Establish master data standards, implement data quality checks, and define SLAs.
Create reusable, automated components to streamline cross-system workflows.
Collaborate with stakeholders on data governance and process improvements.
What you will need:
Strong experience with Python, SQL, or Spark (PySpark or Scala).
Familiarity with Master Data Management pra...