Sr. Software Engineer_Cloud_Devops

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

· Analyze and fine-tune the cloud infrastructure for better cost optimization.

Soft Skills

- Excellent problem-solving and critical thinking skills, with a proactive approach to incident management and root cause analysis.
- Strong communication and coordination abilities, capable of working effectively across cross-functional and international teams.
- High level of ownership, with a strong drive for operational excellence, efficiency, and continuous improvement.

Professional Experience

- 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.

Languages

- Fluent in English (written and spoken); additional languages are a plus.

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.

Requirements

Solid understanding of common issues in cloud-based data pipelines and analytics solutions; Working knowledge of Databricks and Lakehouse architecture in a cloud environment.; Working with Batch accounts, IAC, GitHub, IAM, and CI/CD pipelines; Experience with command-line scripting (e.g., PowerShell ).; Experience with data pipeline orchestration tools (e.g. Azure Data Factory); Understanding of monitoring and logging tools is a plus.; Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.