We are pleased to inform you that we have scheduled a Walk-in Recruitment Drive in Pune Saturday, 24 Oct Interview Details: ? Venue: Tata Technologies 25 Rajiv Gandhi Infotech Park, Hinjewadi Pune 411057 India ? Time: 9:00 AM to 1:00 PM Selection Process:
• Profile Screening and Shortlisting at the Venue
• Technical Interview
• Tool Assessment/Test (Based on technical team recommendation)
• HR Discussion PFB

Job Description
Dimensional Variation Analysis Engineer Scope of Role DVA, Tolerance stackup Area of Responsibility
• Lead and perform dimensional variation analysis using 3DCS (v7.8) & VisVSA tools.
• Develop and implement strategies to control and reduce dimensional variation in products and processes.
• Collaborate with design, manufacturing, and quality teams to identify potential sources of variation and recommend corrective actions.
• Create and maintain detailed documentation of analysis results, methodologies, and corrective actions.
• Provide technical guidance and mentorship to junior engineers and team members.
• Conduct root cause analysis for dimensional variation issues and implement effective solutions.
• Support the development and validation of measurement systems and inspection processes.
• Participate in design reviews and provide input on dimensional tolerances and specifications.
• Stay updated with industry trends and advancements in dimensional analysis techniques and tools. Knowledge / Experience – 6 to 9 Years Essential:




• Solid hands-on experience in Dimensional Variation Analysis (DVA) and tolerance stack‑up analysis for complex assemblies.
• Proficient in 3DCS v7.8 for Monte Carlo simulation, RSS, and worst‑case dimensional analysis.
• GD&T; expert with advanced application of ASME Y14.5 standards for functional and producible designs.
• Skilled in 2D and 3D dimensional analysis using drawings and CAD-based models.
• Proficient in CATIA V5 for model interpretation, assembly analysis, and design evaluation.
• Deep understanding of manufacturing processes and their impact on dimensional variation.
• Experienced in developing variation reduction strategies through tolerance optimization and process improvements.
• Strong capability in performing root cause analysis and implementing corrective actions for dimensional issues.
• Knowledgeable in measurement systems, CMM inspection planning, and MSA concepts.
• Effective contributor to design reviews, providing guidance on datums, tolerances, and dimensional risks.
• Demonstrates a strong collaborative mindset across design, manufacturing, quality, and supplier teams.
• Proven ability to mentor junior engineers and provide technical guidance in DVA methodologies.
• Strong time management and prioritization skills to handle multiple analyses within tight deadlines.
• Excellent technical documentation and communication skills for presenting analysis results clearly. Qualification: Bachelor’s degree in Mechanical / Automotive Engineering or related discipline.

📌 Dimensional Variation Analysis (Pune)
🏢 Tata Technologies
📍 Pune