Azure Cloud Expert

2 days ago

Hyderabad, India XTGLOBAL INFOTECH LIMITED Full time

Job Description 2.  Azure Cloud Expert Location: Hyderabad/ Hybrid (2 days per week) Full Time 2-11 PM IST / 3 PM - 12 AM Experience: 5+ years in Azure Storage & File Server Migration About the Role  We’re looking for an Azure Cloud Expert to support an enterprise customer project focused on modernizing their file server infrastructure using Azure Files (Premium Tier) and Azure File Sync. Key Responsibilities Plan and implement file server migrations to Azure Files (Premium). Configure Azure File Sync, local caching, and cloud tiering for CAD workloads. Integrate Azure Files with AD/Entra ID and ensure secure SMB access. Enable Defender for Storage, backup policies, and disaster recovery. Provide documentation, training, and ongoing support post-migration.   Requirements Required Skills Strong hands-on experience in Azure Files , Azure File Sync , and Azure Backup . Experience migrating large file workloads (especially CAD files) to Azure Files. Proficiency with PowerShell , AzCopy , Azure CLI , and hybrid configurations. Understanding of SMB access , Active Directory / Entra ID integration , and cloud tiering . Knowledge of Microsoft Defender for Storage , Azure RBAC , and geo-redundant storage setups.   Preferred Certifications Microsoft Certified: Azure Administrator Associate (AZ-104) Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Keywords for Sourcing Profiles: Azure Files, Azure File Sync, Azure Backup, Azure Storage, AzCopy, File Server Migration, Hybrid Storage, Entra ID, SMB Access, Cloud Tiering, Defender for Storage, PowerShell, CAD File Migration. Requirements Data Engineer (Migration Specialist) - Job Description Role: Data Engineer for Model Migration to Microsoft AI Foundry Responsibilities: • Set up and manage data pipelines using Azure Data Factory to migrate models from DataRobot to Microsoft AI Foundry. • Utilize Azure Storage and other Azure services to ensure data and model assets are transferred smoothly. • Optionally work with Databricks for any data preparation tasks as needed. Required Tools: • Azure Data Factory • Azure Storage solutions • Databricks (if applicable)

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