Specialist, MDM Automation
External
Nexperia · - Home Based, PhilippinesFull-timeOn-site1d ago
ApacheCI/CDETLPySparkPythonSAFe
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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.
Responsibilities
- 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.
Requirements
- Strong experience with Python, SQL, or Spark (PySpark or Scala).
- Familiarity with Master Data Management practices and data quality frameworks.
- Familiarity or Experience with CI/CD pipelines and infrastructure-as-code principles.
- Understanding of data governance, lineage, and security best practices.
- Familiarity with PLM systems and workflows (e.g., ENOVIA).
- Experience with SAP ERP data extraction and integration.
- Understanding of the semiconductor industry, including manufacturing processes.
- Experience with BI/analytics tools (e.g., TIBCO Spotfire)
Benefits
Competitive salary and benefits packageOpportunities for professional development and growthA commitment to workplace safety and employee well-beingAn innovative and dynamic work environmentTalent acquisition based on Nexperia vacancies is not appreciated. Nexperia job adverts are Nexperia copyright © material and the word Nexperia® is a registered trademark.D&I StatementIn addition, we offer our colleagues the possibility to join employee resource groups such as the Pride Network Group or global and local Women's groups. Nexperia is committed to increasing women in management positions to 30% by 2030.
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