[Hiring] Data Migration & CAD Integrations @PROLIM Global Corporation

Role Description

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.

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.