Magna International
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Bengaluru · On-site · 1-3 Yrs · Just now
Transportation Equipment Manufacturing · 10000+ Employees · Aurora, Canada
Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company with a global, entrepreneurial-minded team of over 179,000 employees and an organizational structure designed to innovate like a startup. With 65+ years of expertise, and a systems approach to design, engineering and manufacturing that touches nearly every aspect of the vehicle, we are positioned to support advancing mobility in a transforming industry. Our global network includes 342 manufacturing operations and 103 product development, engineering and sales centers spanning 28 countries.
Hiring: Engineering
What employees say
+ Good people, Weekends off, Automotive giant
− Lower Pay for MetroPolitan region
More reviews on the company profile.
Interview experience · HIL Testing Engineer
Interview stretched for almost 2 hours. Panel has a set answer in mind, does not seem to like it when answers differ a bit. Towards the end, I understood that their expectation is highly people work for 12+ hours a day
Average difficulty · Bengaluru · 42 reports
More interview insightsJob description
Overview
What we offer: At Magna, you can expect an engaging and dynamic workplace where you can help to develop industry-leading automotive technologies.
Responsibilities
- Design, develop, and implement effective and reliable data pipelines using Databricks Delta Live Tables.
- Develop pipelines for structured and unstructured data (i.e. documents, JSON, Parquet, Excel) supporting AI and ML consumption downstream.
- Implement and extend data models (i.e. fact/dimension tables, domain data marts) following designs defined by the Senior DE and AI team.
- Implement and manage data governance and metadata using Databricks Unity Catalog to ensure data quality and discoverability.
- Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver appropriate data solutions.
Benefits
- At Magna, you can expect an engaging and dynamic workplace where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, wide-ranging responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
- Group Summary:
- Magna is more than one of the worlds largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
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Job application FAQ
Last updated 21 September 2026
- How do I apply for Databricks Engineer, Data Platform Bengaluru (India) at Magna International?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Magna International may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Databricks Engineer, Data Platform Bengaluru (India) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Databricks Engineer, Data Platform Bengaluru (India) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Databricks Engineer, Data Platform Bengaluru (India) role at Magna International?
- This is a mid-level Databricks Engineer, Data Platform Bengaluru (India) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.