Sr. Software Engineer_Cloud_Devops

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.

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 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.

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.

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 Databricks.

Experience working in an automotive domain is a plus.

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