Data Migration & CAD Integrations
Role Overview Own the migration of CAD/CAE data migration into ENOVIA using Adaplet and/ or MQL / TCL scripts on the 3DX DEC platform and configure Adaplet-based data migration. Map legacy structures to the target model and ensure integrity of migrated design data. Key Responsibilities · Design and execute CAD/CAE data migration into ENOVIA using Adaplet connectors · Develop MQL/TCL scripts as needed to migrate / extract data from / to Enovia · Configure and maintain integrations for CATIA (native, backported), NX (via ITI connector) and Zuken. · Mapping of types and relationships from legacy Enovia data model to 3DXperience Unified Product Structure · Build extraction, transformation and load routines for large design datasets and validate results. · Reconcile migrated BOM, part and document structures; resolve data-quality issues. Required Qualifications · 1-5 years in PLM data migration / CAD integration, ideally on ENOVIA 3DX DEC. · Hands-on experience with Adaplet and at least one CAD connector (CATIA, NX, Zuken). · Bachelor’s or master’s degree in engineering, Computer application or related majors. · Proficient and hands-on experience with Dassault 3DX Enovia 2015x version (or any legacy version of 3DXperience) · Hands on experience on 3DXperience’s Unified Product Structure (UPS/VPM) migration · Expertise in managing, developing CAD integrations with Power’By and native Virtual Product Management in latest 3DXperience versions. · Azure/AWS: Familiarity with cloud storage, secure file transfer, networking and access-control concepts (Good to have) Skills & Competencies / Tools · Technical: ENOVIA 3DEXPERIENCE Adaplet, CATIA/NX connectors, Power’By, 3DShape/VPM Reference, ETL and data migration, SQL Server, MQL, Tcl/Tk, data mapping, migration validation, and basic REST API knowledge · Interpersonal: Collaboration across cross-functional teams, stakeholder communication, conflict resolution, and knowledge sharing. · Analytical: Structured problem-solving, root-cause analysis, and data-driven decision-making.