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Technologies: Dynamics 365, Common Data Model, Microsoft 365, Microsoft PowerApps, Microsoft Flow, Microsoft Azure, PowerBI, Azure IoT Suite, Azure Machine Learning, Artificial Intelligence.
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Experience with Azure DevOps Boards or Jira. Experience using source control (Azure DevOps, GitHub, or similar) This role will perform hands-on customized development and unit testing of full-stack software solutions.
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IT Infrastructure Architecture Senior is has experience in one of the could technologies with hands-on responsible, creating, delivering, and managing the Infrastructure Architecture solutions.
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5 years of experience of cloud data storage and solutions (e.g., Azure, Microsoft Fabric, Databricks, SQL Server, Azure Data Factory). 5 years of data architecture and implementation experience using Microsoft Azure, cloud-based systems, and modern integration and data technologies.
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Implementation, maintenance, and documentation of backup and recovery systems within Azure, AWS, and OCI.Engages in and supports DevOps practices for infrastructure and security management.
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Manager is looking for a mid-level to senior DevOps engineer with demonstrated experience working with Azure DevOps to build/deploy cloud services on Azure.
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A minimum of 2 years of experience using Agile and continuous deployment in Azure DevOps. A minimum of 1 year of experience in developing integrations between D365 F&O and Dataverse. Experience with other SSIS, Azure Data Factory, Azure Logic Apps preferred.
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Other: Azure DevOps, Smartsheet, Microsoft Visio, TFS (Team Foundation Server), Octopai. Experience with Azure DevOps, TFS. Frameworks: Amazon Web Services (AWS) & Microsoft Azure cloud services.
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Net, D365, PowerApps, PowerBI, Power Automate Full BI Stack (SSIS, SSAS, SSRS) Top requirements: ERP data conversion, implementation, interface designing, mapping and deployment Familiarity with SAP ERP including data conversion will be plus Hands-on experience delivering Dynamics portfolio including: D365 Finance, D365 Project Operations Attach, D365 Project Operations Sub, D365 Supply Chain Management, and D365 Team Members.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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Experience in one or more of the following technologies: Azure AD, ADFS, SSO, multi-factor authentication, SAML, IGA, or Privileged Access Management. Create and conduct training for staff on the use of IGA related tools and processes.
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In-depth knowledge in managing hybrid cloud environment across On-Premise Data Centers, Azure and AWS. Expert knowledge of general IT technologies (SharePoint, Teams, Exchange Online, OKTA, DevOps, Proofpoint, ZScaler, TCP/IP, SMTP, Authentication concepts, Agile.
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Central to this role is the effective management of ETL processes, database administration, and Azure DevOps practices, ensuring high data integrity and seamless application performance across our Knowledge Cubed platform.
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Technology specific certifications around VMware, Amazon Web Services, Microsoft Azure, MCSA/MCSE, Cisco, SAP, etc. · Microsoft suite of tools (Azure, Power Platform, O365, Teams, etc.
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Qualifications: High school diploma or GED.Experience is required: 1+ years as a printing press operator Must be willing and able to relocate to one of our The physical demands require standing, using hands to feel and touch; reach with arms and hands; talk and hear.
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hands on microsoft azure devops jobs Title: senior data engineer in Houston, TX
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