Job Description

Cloud Data Engineer 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: Education:Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field. 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 working in an automotive domain is a plus. Technical Skills: Solid understanding of common issues in cloud-based data pipelines and analytics solutions Working knowledge of Databricks and Lakehouse architecture in a cloud setting. Working with Batch accounts, IAC, Git Hub, IAM, and CI/CD pipelines Experience with command-line scripting (e.g., Power Shell). Experience with data pipeline orchestration tools (e.g. Azure Data Factory)Understanding of monitoring and logging tools is a plus.

Qualifications

B.E

Additional Information

2 -6 Years

📌 Azure Data Engineer (India)
🏢 Bosch Group
📍 India