DVA Engineer
Tata Technologies
Job Description
We have planned walk in drive on 27th June in Pune location.
PFB details
Interview Venue:
๐ง๐ฎ๐๐ฎ ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐
๐๐ง ๐ฏ ๐ง๐ผ๐๐ฒ๐ฟ -๐ฎ๐ป๐ฑ ๐ฎ๐ป๐ฑ ๐ฒ๐๐ต ๐๐น๐ผ๐ผ๐ฟ
๐ค๐๐ฏ๐ถ๐ ๐๐๐๐ถ๐ป๐ฒ๐๐ ๐ฃ๐ฎ๐ฟ๐ธ ๐ฃ๐๐. ๐๐๐ฑ. - ๐ฆ๐๐ญ, ๐ฆ.๐ก๐ผ-๐ญ๐ฑ๐ฐ/๐ฒ,
๐ฅ๐ฎ๐ท๐ถ๐ ๐๐ฎ๐ป๐ฑ๐ต๐ถ ๐๐ป๐ณ๐ผ๐๐ฒ๐ฐ๐ต ๐ฃ๐ฎ๐ฟ๐ธ ๐ฃ๐ต๐ฎ๐๐ฒ-๐,
๐ฃ๐๐ป๐ฒ-๐ฐ๐ญ๐ญ๐ฌ๐ฑ๐ณ
Interview Process:
โข Shortlisting of profile
โข Technical Interview
โข Tool Test
โข HR discussion
PFB Job Description:
Scope of Role
DVA, Tolerance stackup
Area of Responsibility
- Lead and perform dimensional variation analysis using 3DCS (v7.8) 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 โ 6 to 8 Years
Essential:
- Strong hands-on experience in Dimensional Variation Analysis (DVA) and tolerance stackโup analysis for complex assemblies.
- Proficient in 3DCS v7.8 for Monte Carlo simulation, RSS, and worstโcase 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:
Bachelorโs degree in Mechanical / Automotive Engineering or related discipline.