Parts Data Management Engineer

SWITS DIGITAL Private Limited; Bengaluru Urban; On-site; INR 600,000 - 1,200,000; Full time

Job summary

SWITS DIGITAL Private Limited is seeking a detail-oriented Parts Data Management Engineer to handle engineering data classification, attribution, and large-scale data management. You will work with Creo to analyze 3D models, maintain EBOM/MBOM, and support Python-based automation.

The role requires 3–7 years of relevant experience, strong Excel and data governance skills, and the ability to collaborate with cross-functional teams to ensure data accuracy and timely delivery.

Qualifications

• Bachelor's degree in mechanical-related field required.
• Experience in engineering data management and data governance.
• Ability to read/interpret 2D/3D drawings and manage EBOM/MBOM data.

Responsibilities

• Gather data from engineering drawings and maintain structured databases in Excel.
• Classify and cleanse component attributes per industry standards.
• Extract and validate data from supplier catalogs and docs.
• Manage EBOM/MBOM data and large datasets.
• Document data management processes and metrics.
• Support Python automation initiatives.

Skills

Creo

Python

EBOM/MBOM

Data Management

Excel

2D/3D Drawings

PLM basics

Reading drawings

MS Office

Education

Bachelor's Degree in Mechanical/ Manufacturing Engineering

Tools

Teamcenter

Windchill

Job description

Job Description Parts Data Management Engineer

Job Title: Parts Data Management Engineer

Experience: 3 7 Years

Job Summary

We are looking for a detail-oriented Parts Data Management Engineer with experience in engineering data classification, attribution, and large-scale data management. The ideal candidate should have expertise in handling engineering components, interpreting technical drawings, maintaining BOMs, and working with PLM systems. Knowledge of Python automation and manufacturing processes will be an added advantage.

Key Responsibilities

• Gather technical data from engineering drawings and maintain structured databases using MS Excel.
• Classify and cleanse component attribute values in accordance with industry standards.
• Extract and validate attribute data from supplier catalogs and engineering documentation.
• Manage high volumes of engineering data, including customer, supplier, item, and pricing information.
• Ensure data is processed accurately, efficiently, and within defined timelines.
• Collaborate with stakeholders to implement and maintain data management best practices.
• Create and maintain detailed work instructions and process documentation.
• Record and monitor daily operational metrics and data quality reports.
• Support automation initiatives using Python where applicable.
• Maintain engineering BOMs (EBOM) and manufacturing BOMs (MBOM).

Required Skills

• Strong communication and teamwork skills.
• Experience with mechanical component classification and attribute management.
• Good understanding of commodities such as:
  • Castings
  • Heat Exchangers
  • Wire Harnesses
  • Other Mechanical Components
• Ability to read and interpret 2D and 3D engineering drawings.
• Hands-on experience with Creo for analyzing 3D models and drawings.
• Experience working with Engineering BOM (EBOM) and Manufacturing BOM (MBOM).
• Good understanding of manufacturing processes.
• Advanced proficiency in Microsoft Excel and MS Office.
• Basic knowledge of PLM (Product Lifecycle Management) systems.
• Experience in engineering data management and data governance.
• Basic Python programming knowledge for automation.

Preferred Skills

• Experience in engineering data classification and attribution projects.
• Knowledge of large-scale engineering data migration and cleansing.
• Exposure to automation using Python.
• Familiarity with engineering standards and supplier catalog management.
• Experience working in manufacturing or product engineering environments.

Soft Skills

• Excellent verbal and written communication skills.
• Strong analytical and problem-solving abilities.
• Ability to manage multiple priorities and projects simultaneously.
• Self-motivated with the ability to work independently.
• Strong collaboration skills with cross-functional teams.
• High attention to detail and commitment to data quality.

Technical Skills

• CAD Tools: Creo
• Programming: Python (Basic)
• PLM: Basic knowledge
• Data Management: Engineering Data Management, Classification, Attribution
• BOM: Engineering BOM (EBOM), Manufacturing BOM (MBOM)
• Microsoft Office: Advanced Excel, Word, PowerPoint

Domain Knowledge

• Mechanical Engineering Components
• Manufacturing Processes
• Engineering Drawings (2D & 3D)
• Parts Classification & Attribute Management
• Supplier Data Management

Qualification

• Bachelor's Degree in Mechanical Engineering, Production Engineering, Manufacturing Engineering, or a related discipline.

Good to Have

• Experience with engineering automation using Python.
• Exposure to PLM tools such as Teamcenter, Windchill, or similar.
• Knowledge of engineering data quality standards and governance.
• Experience handling large engineering datasets and supplier master data.