Mass Package Engineer

2 years

3 - 7 Lacs

Posted:6 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Skills

Skill

CATIA V5

Minimum Qualification

B.TECH/B.E

Job Description
JD Format

Role

Mass Package Specialist

Visit our website
bmwtechworks.in to know more.

About the UNIT/ Unit Overview

Digital Product Engineering

Location

Pune

Experience:

2 years

Number of openings

1

What awaits you/ Job Profile

Join BMWTechWorks India in the dynamic Cluster Digital Product Engineering and become a vital part of our vehicle development team. In this role, you will be responsible for creating and further developing mass packages for our project business. You will work with cutting-edge tools like CATIA and system platforms such as FDM and FUNDUS, ensuring the accuracy and efficiency of our mass data management. This position offers a unique opportunity to contribute to innovative automotive engineering and digitalization initiatives, making a tangible impact on BMW's future vehicles.

What should you bring along

  • A strong passion for automotive engineering and digitalization
  • Experience in data management, CAD, or related fields
  • Basic programming skills (e.g., Python, Java, JavaScript, C.)
  • Experience with macro creation for MS Office tools
  • Basic knowledge of and interest in AI and Big Data
  • Excellent analytical and organizational skills
  • A proactive attitude and ability to work independently in a fast-paced environment
  • Good communication skills in English, both written and spoken

Must have technical skill

  • Proficiency in CATIA or similar CAD software
  • Experience with data analysis in Excel or comparable tools
  • Knowledge of system platforms like FDM and FUNDUS
  • Basic understanding of vehicle mass data and weights
  • Basic programming skills (e.g., Python, Java, JavaScript, C)


Good to have Technical skills

  • Familiarity with project management tools and processes
  • Experience in process digitalization and continuous improvement initiatives
  • Knowledge of geometry, components, and CAD data structures
  • Ability to identify efficiency potentials and support process automation
  • Interest in AI and Big Data technologies

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