Data Engineer_Sr_Python Specialist
Bosch Group Bengaluru, Karnataka, India
Software Development · 10,001+ employees
About the role
Design and build a centralized data platform to integrate diverse data sources and maintain scalable pipelines using Python. Integrate AI/ML and LLM-based applications into the data backbone while ensuring data integrity and performance optimization.
What they look for
Requirements
Requires a B.E. or B.Tech degree with 6 to 8 years of relevant experience. Candidates must possess strong expertise in Python, data modeling, and building robust data orchestration frameworks.
Full description
Company Description
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Job Description
**Key Responsibilities:**
- Design and build a centralized data backbone/platform integrating data from diverse sources (APIs, databases, files, streaming systems)
- Develop and maintain scalable data pipelines using Python for ingestion, transformation, and processing
- Create and manage data models and database schemas optimized for performance and scalability
- Design and maintain data dependency graphs and lineage systems to track data flow and relationships
- Ensure data consistency, integrity, and quality across all systems
- Collaborate with domain experts to translate business logic into robust data models and AI-ready datasets
- Build reusable frameworks for data orchestration and workflow management
- Integrate AI/ML pipelines into the data backbone for training, inference, and feature engineering
- Design and manage feature stores for machine learning models
- Enable LLM-based applications by structuring and curating high-quality datasets for retrieval (RAG pipelines, embeddings, vector databases)
- Implement pipelines for data preprocessing, labeling, and augmentation for ML use cases
- Optimize data storage, querying, and processing performance
- Implement monitoring, logging, and alerting for both data and ML pipelines
- Support model lifecycle workflows including training, evaluation, deployment, and versioning
- Incorporate feedback loops for continuous model and data improvement
- Document data architecture, flows, dependencies, and AI pipeline integrations clearly
Qualifications
B.E / B.Tech
Additional Information
6 - 8 Years
- Legal Entity: Bosch Global Software Technologies Private Limited
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