Cloud Engineer

📋 Description

• Provide first-level technical support to application teams via ServiceNow for Databricks and cloud
• Onboard new Data Landing Zones (DLZs) by gathering and clarifying requirements.
• Execute pipelines and automation to provision/modify Azure and Databricks resources.
• Support deployment of Azure resources using Infrastructure as Code (IaC).
• Identify repetitive tasks and develop automation to improve efficiency and response times.
• Collaborate with cross-functional teams to resolve issues and document procedures.

🎯 Requirements

• 1–3 years with Databricks in technical/operational roles.
• 1–3 years with Azure Data Factory.
• Experience in application support or cloud operations.
• Familiarity with Azure; exposure to AWS or GCP is a plus.
• Experience with Git/GitHub/GitLab and IaC tools (Terraform/Bicep/AWS CDK).
• Experience with CI/CD and automation platforms (Azure DevOps, Jenkins, GitHub Actions) is a plus.

🎁 Benefits

• Hands-on work with Databricks, Azure, and cloud infrastructure.
• Exposure to IaC, CI/CD, automation, and cloud operations.
• Collaborative environment with cross-functional teams.
• Opportunity to develop expertise in data and cloud tech.
• Role combining cloud engineering, automation, and continuous improvement.
• Professional growth through diverse cloud/data platform challenges.