Senior Data Engineer
Bengaluru, IN
Magna International
Magna. Forward. For all. Explore how Magna´s advancements in mobility help build a better world for everyone and everything.p, p span, p span span, li, li span, li span span { font-family: Arial, Helvetica, sans-serif!important; font-size: 12px!important; } #quickFacts b, p b span span, h2, h2 b, div.inner, span.jobGeoLocation { font-family: Arial, Helvetica, sans-serif!important; font-size: 14px!important; } .joqReqDescription { max-width: 700px; margin-left: auto; margin-right: auto; } #jobreq_print_container img { max-width: 700px; } #jobreq_print_container div { line-height: 14px; } #jobreq_print_container div span { font-size: 12px; }
Job Number: 65441
Group: Magna Corporate
Division: Magna Corporate R&D India
Job Type: Permanent/Regular
Location: BANGALORE
Work Style:
About us
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.
Forward. For all.
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.
About the Role
We are seeking a skilled Data Engineer to join our Micro-Mobility division. As a Data Engineer, you will play a key role in designing and implementing robust data pipelines in AWS, utilizing technologies like EMR, Hudi, Kafka. Your responsibilities will include integrating data from diverse sources, with a future focus on MongoDB.
Your Responsibilities
- Build data pipelines that clean, transform, and aggregate data from disparate sources
- Experience in building or maintaining ETL/ELT processes
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues
- Use agile software development processes to make iterative improvements
- Strong communication skills and ability to collaborate with data science, analytics and other consumer teams
Who we are looking for
- Experience with Python, SQL, No-SQL and data visualization/exploration tools
- Experience with distributed systems utilizing tools such as Spark and Kafka
- Familiarity with the AWS ecosystem and analytics services
- Ability to work on a dynamic, research-oriented team that has concurrent projects
Your preferred qualifications
- Experience with containerization technologies such as Docker and Kubernetes
- Knowledge of stream processing frameworks like Apache Flink or Apache Storm
- Experience with workflow orchestration tools such as Apache Airflow or Luigi
- Certifications in relevant technologies (e.g., AWS Certified Big Data - Specialty)
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.
Site Benefits
Details of our benefits package will be provided during the recruitment process.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow AWS Big Data Data analysis Data pipelines Data quality Data visualization Distributed Systems Docker ELT ETL Flink Kafka Kubernetes MongoDB Pipelines Privacy Python R R&D Research Spark SQL
Perks/benefits: Career development
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