Azure Data Engineer
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Cloud Data EngineerKey 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. Qualifications: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.
Technical Skills:Solid understanding of common issues in cloud-based data pipelines and analytics solutionsWorking knowledge of Databricks and Lakehouse architecture in a cloud environment. Working with Batch accounts, IAC, GitHub, IAM, and CI/CD pipelinesExperience 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.
B. E
2 -6 Years