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Data scientist
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About MBRDI:
Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.
- Design, build, and optimize scalable data pipelines and architectures for ingesting, processing, and analyzing large
- Collaborate with cross-functional teams to translate data requirements into technical solutions.
- Develop reusable frameworks and automation scripts for data processing and integration.
- Ensure data quality, security, and governance standards are met across platforms.
- Contribute to DevOps and CI/CD practices for data platform components.
- Monitor and troubleshoot system performance and reliability issues.
- Document technical workflows and support knowledge sharing across teams.
- 4–8 years of experience in data engineering, big data platforms, or backend development.
- Proficiency in tools and technologies such as Apache Spark, Kafka, Hadoop, SQL, Python, and cloud platforms (Azure/
- Hands-on experience with data lake architectures, ETL/ELT tools, and orchestration frameworks like Airflow or Azure
- Familiarity with containerization (Docker/Kubernetes) and CI/CD pipelines.
- Strong problem-solving skills and experience in handling large-scale data environments.
- Excellent communication and stakeholder collaboration skills.
Bachelor's / Master’s degree in [Engineering discipline – e.g., Mechanical, Electronics, Computer Science, etc.]
Why Join Us?
- Be part of a purpose-driven organization that’s shaping the future of mobility.
- Work on cutting-edge technologies and global projects.
- Thrive in a collaborative, diverse, and inclusive environment.
- Access world-class infrastructure and learning opportunities.
Equal Opportunity Statement:
At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability.
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