Cloud Engineer

Job Summary

Key Responsibilities

• Automation experience essential: Scripting, using PowerShell.
• ARM Templates, using JSON (PowerShell also acceptable)

• Azure DevOps

  with CI/CD, Site Reliability Engineering
• Must be able to understand the concept of how the applications function.
• The ability to priorities workload and operate across several initiatives simultaneously
• Update and maintain the

  Kappa-Automate database

  and connectivity with the pi historian and data lake
• Participate in troubleshooting, performance tuning, and continuous improvement of the Kappa Automate platform
• Designing and implementing highly configurable Deployment pipelines in Azure
• Configuring Delta Lake on Azure Databricks
• Apply performance tuning techniques such as partitioning, caching, and cluster
• Working on various Azure storage types
• Work with large volumes of structured and unstructured data, ensuring high availability and performance.
• Collaborate with cross-functional teams (data scientists, analysts, business users)

Qualifications
• Bachelors or Masters degree in Computer Science, Information Technology, or a related field. • 8+ years of experience in data engineering or a related role. • Proven experience with Azure technologies.