Lead Data Engineer (Azure Databricks, ETL)

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:
Magna is more than one of the world's 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.
Job Responsibilities:
Job Introduction
Highly skilled and experienced Senior Data Engineer to lead 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 exceptional technical expertise in data modeling, ETL processes, and database management. As the team lead, you will provide guidance and mentorship to other 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.
• Lead and manage a team of data engineers, providing technical guidance, mentoring, and support.
• Implementing and enforcing 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

• 6-10 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

• Team leading skills
• 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 to comply with GDPR requirements and your local Data Privacy Law.
Worker Type:
Regular / Permanent
Group:
Magna Corporate