
Posted 5 days ago
Data Engineer_Sr_Python Specialist
AI Summary
Senior Data Engineer responsible for designing and building a centralized data platform, developing scalable Python-based data pipelines, managing data models and lineage, ensuring data quality, and integrating AI/ML and RAG workflows.
About this role
Data Engineer_Sr_Python Specialist
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.
**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
Skills
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