Data Engineer_Sr_Python Specialist

Bosch Group; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Bosch Global Software Technologies Private Limited is seeking a skilled data engineer to design and build a centralized data backbone integrating diverse sources with scalable pipelines. You will create data models, ensure data quality, and collaborate with AI/ML teams to embed ML pipelines and feature stores.

The role requires 6–8 years of data engineering experience, strong Python programming, and expertise in data modeling and ETL. Bengaluru-based office, on-site work.

Qualifications

• BE/BTech in a relevant field.
• 6-8 years of data engineering experience.
• Strong Python and data modeling skills.

Responsibilities

• Design and build a centralized data backbone integrating data from diverse sources.
• 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.

Skills

Python

Data Modeling

ETL Pipelines

ML Pipelines

LLM/ Retrieval

Dataset Curation

Education

B.E./B.Tech

Tools

Airflow

Apache Spark

SQL

Vector Databases

Job 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