Senior Azure Cloud Architect

6+ years of relevant Engineering and/or Consulting experience • 3+ years of relevant Microsoft Azure design & delivery experience. Responsible for design, development, and hands-on implementation of Azure cloud solutions high-availability, DR, Business Continuity and availability best practice Experience with Azure Resource Manager, Resource Groups, Virtual Networks, Azure Virtual Machines, Azure Blob Storage, PowerShell DSC, Azure Automation, Azure Active Directory, and Azure Site Recovery • Experience with Azure Governance and Best Practices (Role Based Access Control, Networking Architectures, Cost Management controls, etc.) • Understanding of Azure SQL Database, Azure Functions, Logic Apps, Azure DevOps preferred

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Azure Applications Architect

Key Skills : Data Bricks, COSMOS DB, PostgreSql 1) Able to talk to business stakeholders and architects to lay out a Azure transformation journey 2) Substantial hands-on experience of Azure-based tools and services, e.g. Azure Event Hubs, Azure SQL DB, Blob and Table Storage, Azure SQL Data Warehouse/Synapse, Azure Data Bricks, Cosmos DB , PostgreSql 3) Understanding of Data Lakes and Data Lake Architectures best practices in data storage, loading, retrieving data from data lakes. Should have delivered at least 1 project in Azure Data Lake 4) Ability to develop and maintain pipelines in Azure Data Factory understand best practices of bringing on-prem data to the cloud. File loading, compression, parallelization of loads etc. 5) Strong understanding and hand-on experience in Microsoft Azure Streaming Analytics, SaaS, etc. to deeply understand cloud computing techniques.

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Test Engineer

Key Skills : Data Bricks, COSMOS DB, PostgreSql 1) Able to talk to business stakeholders and architects to lay out a Azure transformation journey 2) Substantial hands-on experience of Azure-based tools and services, e.g. Azure Event Hubs, Azure SQL DB, Blob and Table Storage, Azure SQL Data Warehouse/Synapse, Azure Data Bricks, Cosmos DB , PostgreSql 3) Understanding of Data Lakes and Data Lake Architectures best practices in data storage, loading, retrieving data from data lakes. Should have delivered at least 1 project in Azure Data Lake 4) Ability to develop and maintain pipelines in Azure Data Factory understand best practices of bringing on-prem data to the cloud. File loading, compression, parallelization of loads etc. 5) Strong understanding and hand-on experience in Microsoft Azure Streaming Analytics, SaaS, etc. to deeply understand cloud computing techniques.

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