Source description
About the role
Required Skills & Qualifications
Experience : 4+ years of hands-on experience in PLM data engineering, data profiling, or data migration environments.
PLM Fundamentals : Strong foundational knowledge of Product Lifecycle Management (PLM) principles (e.g., Teamcenter, Windchill, Enovia, or similar) with a deep understanding of CAD structures, engineering changes, and BOM schemas.
Data Tooling : Proficient in Python and standard data analysis libraries ( Pandas, NumPy, Scikit-learn ) to write custom data cleansing and automated matching scripts.
Staging Databases : Hands-on experience querying and structuring data within staging layers or databases (such as MongoDB, PostgreSQL, or SQL Server).
Problem-Solving Background : Proven track record of handling complex data edge cases, resolving structure gaps, and migrating data from a legacy state to a modernized framework.
Preferred Skills (Nice to Have)
Prior experience with Teamcenter, 3DEXPERIENCE, or ENOVIA / XPDM data architectures.
Exposure to basic AI/ML automation or LLM-driven data parsing pipelines.
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