Cloud Engineer

📋 Description

• First-line technical support to application teams via ServiceNow for Databricks and cloud requests
• Onboard Data Landing Zones (DLZs) by gathering and clarifying requirements
• Run pipelines and scripts to provision or modify Azure and Databricks resources
• Deploy Azure resources using Infrastructure as Code (IaC) practices
• Identify repetitive tasks and automate to improve efficiency and response times
• Collaborate with cross-functional teams to resolve issues and onboard smoothly

🎯 Requirements

• 1–3 years with Databricks in technical/operational roles
• 1–3 years experience with Azure Data Factory
• Background in application support or cloud operations
• Familiarity with Azure; AWS/GCP exposure is a plus
• Experience with Git/GitHub/GitLab
• Knowledge of Databricks Unity Catalog, RBAC, authentication, Delta Sharing desirable

🎁 Benefits

• Hands-on work with Databricks, Azure, and modern data tech
• Exposure to IaC, CI/CD, automation, and cloud ops
• Collaborative environment with cross-functional teams
• Opportunity to develop expertise in growing data and cloud tech
• Mix of cloud engineering, automation, and continuous improvement
• Potential for professional growth across cloud and data platforms