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 operational workflows.

🎯 Requirements

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

🎁 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.
• Prospects for professional growth through exposure to cloud and data platform challenges.