Cloud Engineer

📋 Description

• Join a technical team focused on supporting and scaling modern cloud-based data environments.
• Help application teams onboard to Databricks and build reliable Data Landing Zones (DLZ).
• Work with Azure resources, Infrastructure as Code, automation, and deployment pipelines.
• Troubleshoot requests and resolve issues through structured support processes.
• Identify opportunities to automate repetitive activities and improve workflows.
• Collaborate across cross-functional teams to ensure efficient cloud operations.

🎯 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 or GCP is a plus.
• Experience with Git, GitHub, or GitLab.
• Understanding 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.
• Opportunities to develop expertise in growing data/cloud tech.
• Role combining technical support, cloud engineering, automation, and continuous improvement.
• Potential for professional growth across cloud and data platform challenges.