Cloud Engineer

📋 Description

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

🎯 Requirements

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

🎁 Benefits

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