Cloud Engineer

📋 Description

• Provide first-level technical support to application teams via ServiceNow for Databricks and cloud
• Gather, clarify, and analyze requirements for onboarding Data Landing Zones (DLZs).
• Execute pipelines, scripts, and automation to provision Azure and Databricks resources.
• Support deployment of Azure resources using Infrastructure as Code (IaC) practices.
• Identify repetitive tasks and develop automation to improve efficiency and response times.
• Collaborate with cross-functional teams to resolve issues and enable smooth onboarding.

🎯 Requirements

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

🎁 Benefits

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