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Design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory. As a cloud engineer for Azure, you will be responsible for designing and implementing scalable, high performance data engineering solutions using Azure Databricks and Azure Data Factory.
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Experience in Azure Data Factory, Databricks and ETL tools like IBM DataStage, Microsoft SSIS. 7+ years Experience in Robot Framework, Agile Functional tester, Test Automation, Azure.
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Strong understanding of cloud-based architectures, particularly Microsoft Azure, with experience deploying Dynamics 365 CE solutions in cloud environments. Experience with Microsoft Power Platform, including PowerApps and Power Automate, to extend Dynamics 365 CE functionality.
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Expertise in modern development practices such as Azure DevOps, CI/CD pipeline configuration, and UI frameworks (Telerik or Kendo UI) is highly desirable. Customize, integrate, and enhance Microsoft Dynamics CRM to meet business needs.
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At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Microsoft Certified: Windows Server or Azure Administrator Associate, VMware Certified Professional (VCP), and other relevant certifications are a plus. Cloud Integration: Support cloud-based services and infrastructure, including Microsoft Azure and Office 365, to ensure seamless integration with OT operations.
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Experience implementing security and protecting internet-facing applications in multiple major public cloud (Amazon Web Services, Microsoft Azure, or Google Cloud) Experience in Microsoft 365 and Google Workspace environments, Hybrid Windows and MacOS endpoint environments, Cisco Networking equipment, Windows and Linux server environments, Cloud architecture (AWS, Azure, GDP), GitHub and server virtualization (VMWare.
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Experience administrating and managing Microsoft Landing Zone, Azure, Intune, and other Microsoft Cloud technologies. Utilize in-depth application knowledge to identify, manage, and resolve complex issues related to Active Directory, Azure, Intune, operating system management, and security DevOps.
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Certifications such as CompTIA Network+, Microsoft Certified: Azure Solutions Architect, AWS Certified Solutions Architect, or similar are preferred. Proficiency with operating systems such as Linux, Windows Server, and cloud platforms (e.g., AWS, Azure, Google Cloud.
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Azure: Proficiency in Azure Virtual Machines, Azure DevOps, Azure Functions, Azure SQL Database, and Azure Kubernetes Service (AKS). Expertise in cloud-native technologies such as serverless (AWS Lambda, Azure Functions), containerization (Kubernetes, Docker), and microservices architectures.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Expertise in Microsoft Intune for device management, configuration, and security. In-depth understanding of Azure networking services, including Azure Virtual WAN, VNETs, Azure Application/Network Security Groups, Private Link, VNET Peering, Routing, ExpressRoute, Site-to-Site VPN, and Point-to-Site VPN.
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At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization.
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1-3 years of end-user support/desktop support: Microsoft Windows, Microsoft Office, desktop and mobile device troubleshooting, deployment of home networks 2-3 years of implementation and support of cloud products: Microsoft 365, Box, Dropbox, SharePoint / OneDrive, Azure, Intune, Conditional Access.
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More than 10+ years of relevant experience in data engineering tools like Azure Data pipelines , Azure Data factory, Azure Data Lake Storage, Databricks, Demonstrated experience in building, tuning data pipelines on Spark, Cloud native tools like Azure Data Factory, Databricks and ETL tools.
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microsoft azure jobs Title: security test in New York, NY
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