Responsibilities
- Design and implement robust, production-ready data solutions tailored to the automotive domain
- Enhance the existing Brose Data Lake and contribute to the architecture of a future AWS-based data warehouse
- Develop and maintain batch and streaming data pipelines on AWS
- Review and optimize ETL processes with a focus on data quality, consistency, and monitoring
- Translate business requirements into efficient relational data models
- Collaborate closely with data scientists to deliver scalable, end-to-end analytics solutions
Requirements
- MSc in Computer Science, Engineering, Mathematics, Physics, or a related field-or equivalent professional experience
- Strong programming skills in Python and a solid understanding of software architecture
- 7+ years of hands-on experience with data engineering projects in an AWS environment
- Proficiency with tools such as Apache Spark (batch and streaming), Apache Iceberg, Kinesis (Firehose and Streams), AWS Glue (Jobs and Crawlers), Athena, Lambda, and RDS
- Solid SQL skills and experience with dimensional data modeling for data warehouses
- Familiarity with GitLab CI/CD pipelines and Docker, Terraform, Django
- Robust grasp of software engineering best practices, including version control, clean code, code reviews, testing, and automation
- Practical experience working with AI-assisted development tools (e. g. , GitHub Copilot, Claude), including effective prompt engineering to accelerate development workflows
- Pragmatic, structured, and solution-oriented approach to problem-solving
- Excellent communication skills in English ; German proficiency is a plus
Job Details
- Department: IN/IS-SK
- Location: Pune
- Job Type: Permanent
- Temporary: Full-time
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Senior Data Scientist (Pune)
🏢 Brose
📍 Pune