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 and scripts to provision/modify Azure and Databricks resources.
• Deploy Azure resources using Infrastructure as Code (IaC) practices.
• Automate repetitive tasks to improve efficiency and response times.
• Collaborate across teams to resolve issues and ensure onboarding success.

🎯 Requirements

• 1–3 years hands-on Databricks experience in a technical/operational role.
• 1–3 years Azure Data Factory experience.
• Experience in application support, 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, Delta Sharing desirable.

🎁 Benefits

• Hands-on work with Databricks, Azure, cloud infra, and data tech.
• Exposure to IaC, CI/CD, automation, and cloud ops.
• Collaborative environment with cross-functional teams.
• Opportunity to grow in data and cloud tech ecosystem.
• Role blends technical support, cloud engineering, automation, and improvement.
• Paths for professional growth through diverse cloud/data platform challenges.