What are the responsibilities and job description for the Senior PLM Developer position at Jobs via Dice?
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Position Description:
Role Overview: We are looking for a Senior PLM Developer to architect and build a next-generation migration pipeline from Teamcenter to 3DEXPERIENCE. This role is unique in its requirement to develop AI-driven automation tools that identify and resolve data discrepancies (attribute mismatches, structure gaps, and metadata conflicts) during the transfer. You will be responsible for consuming Teamcenter APIs, managing a middle data layer, and utilizing XPDM and CAA to ingest high-fidelity data into 3DX. - Development: Expert-level Java development skills (Core Java, Multi-threading, and RESTful API consumption). - 3DEXPERIENCE Expertise: Strong experience with CAA C / Java scripting and a deep understanding of the XPDM integration framework. - Teamcenter Knowledge: Experience consuming Teamcenter SOA (Service Oriented Architecture) and understanding the Teamcenter Data Model. - AI/Automation: Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM-based data cleaning) to automate the resolution of data conditions and discrepancies. Middleware: Experience working with a "Middle Data Layer" or staging databases (Mongo DB) to transform data before final import. - CAD/PLM Data: Understanding of CAD data structures (Item Revisions, Datasets, BOMs) and how they translate between different PLM platforms.
Skills Required:
REST APIs, Data Migration, Java, Artificial Intelligence & Expert Systems, Python
Skills Preferred:
C , Teamcenter
Experience Required:
Engineer 2 Exp: 4 years Data Engineering work experience in PLM Domain
Experience Preferred:
Key Responsibilities: - Migration Tooling Development: Build and maintain Java-based migration utilities to extract data from Teamcenter (via SOA/Middle Layer) and import it into 3DEXPERIENCE. - AI-Driven Data Quality: Develop and implement AI/Machine Learning models or logic-based automation to detect, categorize, and auto-correct data discrepancies between the source and target systems. - 3DX Integration: Utilize XPDM (Cross-Platform Data Management) frameworks to facilitate seamless data exchange and ensure data integrity within the 3DEXPERIENCE environment. - CAA Development: Write and optimize CAA (Component Application Architecture) scripts to handle complex geometry and metadata requirements within the 3DX/CATIA environment. API Consumption: Interface with Teamcenter’s middle data layer to extract PLM objects, BOM structures, and CAD datasets. - Data Mapping & Transformation: Define complex mapping logic to transform Teamcenter’s data model into the 3DX Unified Typography. Preferred Qualifications: -Proven track record of at least one major Teamcenter-to-3DX migration project. - Experience with ENOVIA/3DX data modeling and configuration. - Knowledge of Python for rapid prototyping of AI/data-cleansing models. - Strong analytical skills to handle "edge cases" in data migration where standard mapping fails.
Education Required:
Bachelor''s Degree
Additional Information :
4 days onsite
Position Description:
Role Overview: We are looking for a Senior PLM Developer to architect and build a next-generation migration pipeline from Teamcenter to 3DEXPERIENCE. This role is unique in its requirement to develop AI-driven automation tools that identify and resolve data discrepancies (attribute mismatches, structure gaps, and metadata conflicts) during the transfer. You will be responsible for consuming Teamcenter APIs, managing a middle data layer, and utilizing XPDM and CAA to ingest high-fidelity data into 3DX. - Development: Expert-level Java development skills (Core Java, Multi-threading, and RESTful API consumption). - 3DEXPERIENCE Expertise: Strong experience with CAA C / Java scripting and a deep understanding of the XPDM integration framework. - Teamcenter Knowledge: Experience consuming Teamcenter SOA (Service Oriented Architecture) and understanding the Teamcenter Data Model. - AI/Automation: Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM-based data cleaning) to automate the resolution of data conditions and discrepancies. Middleware: Experience working with a "Middle Data Layer" or staging databases (Mongo DB) to transform data before final import. - CAD/PLM Data: Understanding of CAD data structures (Item Revisions, Datasets, BOMs) and how they translate between different PLM platforms.
Skills Required:
REST APIs, Data Migration, Java, Artificial Intelligence & Expert Systems, Python
Skills Preferred:
C , Teamcenter
Experience Required:
Engineer 2 Exp: 4 years Data Engineering work experience in PLM Domain
Experience Preferred:
Key Responsibilities: - Migration Tooling Development: Build and maintain Java-based migration utilities to extract data from Teamcenter (via SOA/Middle Layer) and import it into 3DEXPERIENCE. - AI-Driven Data Quality: Develop and implement AI/Machine Learning models or logic-based automation to detect, categorize, and auto-correct data discrepancies between the source and target systems. - 3DX Integration: Utilize XPDM (Cross-Platform Data Management) frameworks to facilitate seamless data exchange and ensure data integrity within the 3DEXPERIENCE environment. - CAA Development: Write and optimize CAA (Component Application Architecture) scripts to handle complex geometry and metadata requirements within the 3DX/CATIA environment. API Consumption: Interface with Teamcenter’s middle data layer to extract PLM objects, BOM structures, and CAD datasets. - Data Mapping & Transformation: Define complex mapping logic to transform Teamcenter’s data model into the 3DX Unified Typography. Preferred Qualifications: -Proven track record of at least one major Teamcenter-to-3DX migration project. - Experience with ENOVIA/3DX data modeling and configuration. - Knowledge of Python for rapid prototyping of AI/data-cleansing models. - Strong analytical skills to handle "edge cases" in data migration where standard mapping fails.
Education Required:
Bachelor''s Degree
Additional Information :
4 days onsite