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P Position Summary Hands-on Working knowledge of Azure-native technology stack like Azure AD, Defender for cloud (CSPM) & Identity, PIM, Conditional Access, Defender for Identity, AIP, Azure Log Analytics, Azure Monitoring, Azure Key Vault, Hands-on Working knowledge of Microsoft 365 security suite (Defender for Endpoint, Information Protection, Purview, DLP, EOP, Intune (MDM/MAM) and Defender for cloud Apps.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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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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Experience developing single-page web applications using either Angular 7+ or React Demonstrated experience in Azure based solution implementation, including: •Azure technologies, such as: Azure Logic Apps, Azure SQL and Azure Service Bus and Azure API Manager •Azure DevOps and Visual Studio for code development, management, repositories and deployments (CI/CD) •integrating custom built apps with third-party systems, including Microsoft Dynamics 365 CRM.
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The RoleSkytap, a Kyndryl Company is a global Infrastructure as a Service, deployed across 9 Microsoft Azure and 6 IBM regions with 7 new Azure regions on the way. We are the only cloud service that delivers on-demand virtualized IBM Power LPARs and x86 VMs in Azure and IBM cloud data centers.
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Seamless integration with On-prem databases and Power BI reports Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform. Role DescriptionWe are currently seeking a talented and motivated senior Azure Data Engineer to join our Risk Technology Team. The role will be responsible for developing, deploying solutions for risk, regulatory, compliance projects on Azure platform and be at the forefront of on-prem to cloud migration initiative.
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Certifications: Certified Incident Handler (GCIH)Certified Information Systems Security Professional (CISSP)Microsoft Certified Azure Security Engineer (AZ-)Certified in Cybersecurity (CC)Systems Security Certified Practitioner (SSCP) Certified Cloud Security Professional (CCSP) Work Environment: General office environment will be experienced.
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In-depth knowledge of DevOps practices and tools, including but not limited to CI/CD pipelines, containerization (Docker, Kubernetes), cloud computing (AWS, Azure, Google Cloud), and infrastructure as code (Terraform, Ansible.
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Minimum 8 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Experience with Microsoft Azure ecosystem (Azure SQL Database, Azure Data Lake, etc. Hands-on experience with Azure Data Factory and cloud data integration platforms.
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Proficient in various toolset required for building distributed applications using Java/Open Source/Microsoft technologies and hosting on one of the leading public cloud providers Azure/AWS/GCP.
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The ideal candidate will have a strong background in SQL Server development, hands-on experience with Azure Pipeline, and proficiency in working with Databricks for data processing and analytics.
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Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform. Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
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Relevant certifications, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect. Key Responsibilities: Design, deploy, and manage cloud infrastructure on platforms such as AWS, Azure, or Google Cloud.
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Subject matter expertise with ALL VAEC Cloud Service Providers which currently includes Microsoft Azure and Amazon Web Services (AWS) Utilize automation tool such as Terraform, Ansible, AWS Cloud Formation, Azure Resource Manager, or similar.
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on microsoft azure jobs Title: associate Company: Capital One in Newark, NJ
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