Magna - Lead Data Engineer - ETL/Azure Databricks

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 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.

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 to 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.

Worker Type : Regular / Permanent.

Group : Magna Corporate.