Why This Role Stands Out
Advance your career as an ENOVIA MQL/TCL Expert at PROLIM Global Corporation, where you'll shape critical automation and business rules within a respected company. If you excel at scripting and thrive in a collaborative, hybrid environment, this is an excellent opportunity to develop your skills and make a significant impact. Apply now to join their dynamic team!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
5 days ago
SQLAWSAzureJavaREST
Job Description
Job Description:
- Serve as the ENOVIA scripting specialist for the 3DX model. Automate configuration, business rules and data operations using MQL and Tcl-Tk specific to ENOVIA.
Key Responsibilities
- Develop, review, and optimize MQL and Tcl-Tk scripts for ENOVIA configuration and automation.
- Build triggers, business rules, and data-loading utilities against the ENOVIA schema.
- Debug and performance-tune scripted processes across environments.
- Establish scripting standards and guide associate developers.
- Expertise with Enovia sandbox configurations on DS 2015x and 2025x versions.
- Azure/AWS: Basic understanding of cloud-hosted ENOVIA environments, connectivity, storage and logging concepts to support MQL/TCL automation and troubleshooting across environments. (Awareness / Nice to have)
Required Qualifications
- 5+ years in ENOVIA / Matrix development with deep MQL and Tcl-Tk expertise.
- Strong understanding of the ENOVIA object model, policies, and business rules.
- Bachelor's or master’s degree in engineering, Computer applications, or related majors,
Skills & Competencies / Tools
- Technical: Advanced MQL, Tcl/Tk, ENOVIA data model, Enovia database structure (LX and MX tables) and schema configuration, Java, triggers, policies, commands and menus, data migration, SQL, REST APIs, security administration, debugging, and deployment.
- 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.
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