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Bosch Global Software Technologies Private Limited in Bengaluru seeks a Data Engineer to own cloud data pipelines, focusing on stability, scalability, and cost efficiency. You will monitor batch workloads, optimize Databricks, and implement robust incident response across a global tech team.
The role requires 3–5 years of hands-on experience with Azure Data Factory, Databricks, and Lakehouse architectures, plus strong scripting and CI/CD skills; automotive domain experience is a plus.
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:
Ensure the stability, scalability, and performance of the data pipelines solution.
Monitor and maintain batch data pipelines in a cloud-based environment.
Improve operational processes including incident handling, performance monitoring, and issue resolution.
Optimize Databricks workloads to improve efficiency and reduce costs.
Analyze and fine-tune the cloud infrastructure for better cost optimization.
Solid understanding of common issues incloud-based data pipelinesand analytics solutions
Working knowledge ofDatabricksandLakehouse architecturein a cloud environment.
Working with Batch accounts, IAC, GitHub, IAM, and CI/CD pipelines
Experience withcommand-line scripting(e.g.,PowerShell).
Experience withdata pipeline orchestration tools(e.g. Azure Data Factory)
Understanding of monitoring and logging tools is a plus.
Excellentproblem-solving and critical thinking skills,with a proactive approach to incident management and root cause analysis.
Strongcommunication and coordination abilities,capable of working effectively across cross-functional and international teams.
High level ofownership,with a strong drive foroperational excellence,efficiency, and continuous improvement.
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
Experience in operating and maintaining large-scale cloud data solutions in production environments.
Proven experience as a Data Engineer, with a strong focus on Azure Data factory and Databricks.
Experience working in an automotive domain is a plus.
Fluent in English(written and spoken); additional languages are a plus.
3-5 years Experience in cloud infra and Devops