About the Role
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.
3-5 years Experience in cloud infra and Devops