Cloud Engineer

📋 Description

• Provide first-level technical support to application teams through the ServiceNow ticketing system
• Gather, clarify, and analyze technical requirements for onboarding new Data Landing Zones (DLZs).
• Execute pipelines, scripts, and automated processes to provision, configure, or modify Azure and
• Support the deployment of commonly requested Azure resources using Infrastructure as Code (IaC)
• Identify repetitive manual activities and develop automation to improve efficiency, consistency
• Collaborate with application, cloud, data, and other cross-functional teams to resolve technical

🎯 Requirements

• 1–3 years of hands-on experience working with Databricks in a technical or operational environment.
• 1–3 years of experience with Azure Data Factory.
• Previous experience in application support, technical operations, cloud support, or a similar role.
• Familiarity with major cloud platforms, particularly Azure, with exposure to AWS or GCP considered
• Experience using source-control systems such as Git, GitHub, or GitLab.
• Understanding of Databricks capabilities such as Unity Catalog, RBAC, authentication mechanisms

🎁 Benefits

• Opportunity to work hands-on with Databricks, Azure, cloud infrastructure, and modern data
• Exposure to Infrastructure as Code, CI/CD, automation, and cloud platform operations.
• Collaborative environment with opportunities to work closely with application and cross-functional
• Opportunity to develop expertise in a growing data and cloud technology ecosystem.
• Role combining technical support, cloud engineering, automation, and continuous improvement.
• Potential for professional growth through exposure to a broad range of cloud and data platform