Cloud Engineer

📋 Description

• Provide first-level technical support to application teams via ServiceNow for Databricks and cloud
• Onboard Data Landing Zones (DLZs) by gathering and analyzing requirements.
• Execute pipelines/scripts to provision/modify Azure and Databricks resources.
• Support deployment of Azure resources using IaC practices.
• Identify repetitive tasks and automate to improve efficiency and response times.
• Collaborate with cross-functional teams to resolve issues and ensure onboarding success.

🎯 Requirements

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

🎁 Benefits

• Hands-on with Databricks, Azure, cloud infra, and data technologies.
• Exposure to IaC, CI/CD, automation, and cloud operations.
• Collaborative environment with cross-functional teams.
• Opportunity to grow in a expanding data/cloud tech ecosystem.
• Role combines technical support, cloud engineering, automation, and continuous improvement.
• Potential for professional growth across cloud and data platforms.