Data Engineer at Magna International Inc

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Processes, Data Modeling, Database Management, Python, Spark, Databricks, Azure, AWS, Data Warehousing, Analytical Skills, Mentoring, Collaboration, Client Management, Troubleshooting

Industry

Motor Vehicle Manufacturing

Description

Job descriptions may display in multiple languages based on your language selection. What we offer: At Magna, you can expect an engaging and dynamic environment 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, varied 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: Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain. Job Responsibilities: Job title: Data Engineer Job Introduction: Highly skilled and experienced Data Engineer to be part of our data engineering & analytics team. The successful candidate will be responsible for designing, implementing, and managing our data infrastructure and analytical systems. This role requires technical expertise in data modeling, ETL processes, and database management. As the team member of Data Engineering group, you will provide guidance and mentorship to other junior data engineers, ensuring high-quality deliverables and driving the team's success. Major Responsibilities: Design, develop, and implement data models, ETL processes, and data pipelines to ensure efficient and accurate data flow using Databricks. Mentor a team of junior data engineers, providing technical guidance, mentoring, and support. Implementing the solutions basis architectural standards and frameworks to ensure a flexible and scalable data environment. Collaborating with cross-functional teams to gather requirements, analyze data, and design effective solutions. Hands-on development of Python/ Spark-based scripts and applications to support data processing and transformation. Utilizing tools such as Databricks Notebooks, Azure Data Factory, and Change Data Capture (CDC) for orchestrating and managing data workflows. Optimize and enhance existing data infrastructure and systems for performance, scalability, and reliability. Playing a key role in DevOps activities, including deployment of jobs and required infrastructure setup. Staying updated with the latest industry trends and technologies in data engineering and analytics. Knowledge and Education: Degree in computer science or a similar field. Work Experience: 5+ Years of experience in the field of Data Engineering & Analytics. Strong understanding of Data warehousing, engineering & ETL concepts. Experience in Databricks development using Python, PySpark & DLT Pipelines. Experience working with databases and various types of data storage. Excellent communication and interpersonal skills Time and project management skills, with the ability to prioritize and multitask as needed. Goal orientation and holistic thinking and action. Experience working with Azure / AWS. Certifications in relevant data technologies will be an added advantage. Skills and Competencies: Troubleshooting and analytical skills. Good communication and collaboration skills. Client management skills. Awareness, Unity, Empowerment: At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. Notice regarding the use of AI: As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies. If you have any questions or concerns about this process, feel free to contact our Talent Attraction team. Worker Type: Regular / Permanent Group: Magna Powertrain We see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people. In the right environment, your ideas can turn into industry-changing automotive technologies and improve the lives of people around the world. Let's create the future of mobility, together. Learn more about us: Sustainability Innovation Interview-Tips

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Responsibilities

The Data Engineer will design, implement, and manage data infrastructure and analytical systems, ensuring efficient data flow. They will also mentor junior engineers and collaborate with cross-functional teams to develop effective solutions.