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Certification AZ-104 (Microsoft Azure Administrator). Additional certifications such as AZ-400 (Microsoft Azure DevOps Engineer), AZ-305 (Microsoft. Plan and execute data migration projects to Azure, ensuring minimal disruption and data integrity.
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Experience with cloud-based IGA platforms like Ping Identity, Okta, Windows Active Directory, Azure AD B2C, and SailPoint. Proven experience with cloud-based IGA solutions and Azure AD.Strong understanding of IAM concepts and best practices, experience in implementing IGA use cases like JML, Access request, Access certification, Approval workflows, Provisioning connectorsExtensive knowledge of Azure AD features and functionality, including Azure AD Connect, Federation , Azure Multi-Factor Authentication (MFA), Privileged Access and Conditional and Just in time Access.
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Cloud Infrastructure: Virtual Machines, Azure Database, and storage technologies (Storage Accounts, SQL Server, CosmosDB), Virtual Networks, Azure Site Recovery, Traffic Manager, Azure Automation, ARM Templates, Azure Load balancer, API Gateway and Azure AD.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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Preferred QualificationsKnowledge of Azure DevOps/Jira/Git/ServiceNow. Knowledge LexisNexis OFAC products. Expert level understanding and experience in analyzing and solutioning for various Fraud and AML related functions Actimize, MS SQL and Azure.
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Experience with Windows desktop and server administration, including Active Directory and Group Policy management, Microsoft Endpoint Configuration Manager, Azure based services such as Intune and AutoPilot, JAMF for Apple product management (iPads and MacBooks.
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2+ years of Apache Spark and/or Azure Databricks , Azure Data Factory. Implements and debugs Infrastructure as Code, including associated storage and network resources, using technologies such as Terraform , Azure DevOps , and/or GitHub Actions What you'll need for success Minimum Qualifications- Education & Prior Job Experience.
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Any related training or certifications (MCSE, MCSA, MCP, ComTIA, AWS, Azure) This position directs and leads the Information Technology Client Computing team which includes the Employee Service Desk, Desktop Support, Desktop Engineering, IT Asset Management, Collaboration Services, Audio Visual Services, and Executive technology support.
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Systems Engineering Services is seeking a Lead Azure DevOps Engineer for a position in Tucson, AZ - Local candidates preferred but MST or PST Time Zones required. Proficiency in scripting and automation tools (e.g., PowerShell, Azure DevOps) for infrastructure management and provisioning.
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Experience with DataBricks, Snowflake, Linux, Azure, AWS, Docker, PostgreSQL, web apps. Experience with data wrangling, feature engineering, and model development. Experience with DataBricks, Snowflake, Linux, Azure, AWS, Docker, PostgreSQL, web apps.
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5+ years of experience in system engineering, with a focus on identity management, device management, and Azure technology infrastructure. Microsoft Certified: M365 Admin certification, Azure Administrator Associate, Azure Solutions Architect Expert, or CompTIA Network.
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Proficient in Azure DevOps (ADO) practices Boards, Repos, CI/CD pipelines. Microsoft Azure certifications, such as AZ-900, AZ-204, AZ-104, AZ-305. Experience in Azure cloud services including Azure App Service, Azure Functions, Logic Apps, Azure SQL DB, Azure Storage, Azure CDN, API Management, Azure Service Bus.
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Utilizes common DevOps and CI/CD tools such as Jira, Azure DevOps, Jenkins Octopus Deploy, GitHub Enterprise, etc. The GBS Network Design Engineering team oversees Wolters Kluwer’s Enterprise Network, spanning multiple public/private clouds, data centers, and offices in North America, Europe, and Asia Pacific.
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4-5 years working with teams in building and deployment of application on OpenShift, Kubernetes, AWS, Azure or Google Cloud. Software Systems Manager - Software Engineering, Vice President.
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Working knowledge with CI/CD and automation tools like Jenkins or Azure DevOps. Working knowledge of Azure Stream Architectures, DBT, Schema Change tools, Data Dictionary tools, Azure Machine Learning Environment, GIS Data.
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azure job Title: engineering manager Company: Change Healthcare in Phoenix, AZ
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