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Experience with cloud computing platforms (e.g., Amazon Web Services, Microsoft Azure, and Google Cloud Platform) Work with legacy code in SAS, R, SQL, Python a plus. Experience with cloud computing platforms (e.g., Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
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Experience with Data Warehousing (Azure/SQL/Synapse), ETL (Azure Data Factory/SSIS), Microsoft Power Apps. 5 or more years of technical experience in design, develop, support and implement end-to-end data integration solution using Azure Data Factory (ADF) and SNOWPipe, Azure Synapse Analytics or SNOWFLAKE (required.
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Experience using Microsoft Azure, Amazon Web Services, or Google Document environments. Laboratory Specialist - Computer Networking Systems & Security (CNSS) and Geographic Information Systems (GIS.
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Proficient in Microsoft Power BI, including scripting. 7+ years of experience on MS Power BI and Azure Data Lake, Data Warehouse, Azure Synapse Analytics, etc. Extract, transform and load (ETL) data from diverse sources into Azure Datalake or any other data warehouse of SAP.
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Competency in Microsoft applications including Azure DevOps Boards, Visio, Word, PowerPoint and Outlook. The Automation Test Lead will have experience completing automation testing using multiple tools, including Azure DevOps. They will understand the life cycle of testing and test automation, starting with acceptance criteria and understanding the definition of done for the process being tested.
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This platform is built on Microsoft Azure and a business-critical application for customer. OneTrust tool provides capabilities to support several compliance related activities such as Data Privacy Impact Assessment (DPIA), Supplier Privacy Assessment (SPA), Data Subject Access Request (DSAR), Privacy Incident Investigation Assessment, Consent and Preference Management.
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Experience providing expert architecture guidance on Data Warehouse, Data Lake and Modern BI architecture concepts and technologies using Azure Synapse Analytics and SNOWFLAKE. Experience with migrating data to the cloud (Azure Data Lake) and/or Cloud based computing (MS Azure), SNOWFLAKE.
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Experience implementing scalable and maintainable Dimensional Data Models to meet business objectives, includes construction of Azure Data Factory and automation of data architectures implemented.
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Humana Senior Data Manager Hartford , Connecticut Apply Now Become a part of our caring community and help us put health first. Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company.
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Experience with SWCM tools (Microsoft Azure DevOps Server (ADS) - Git, BitBucket, IBM Rational Team Concert (RTC), and/or IBM Rational ClearCase, Synergy, Jenkins, Artifactory. SWCM Tool administration / manage all access to the source code repository (i.e. Microsoft Azure DevOps Server (ADS), Git, BitBucket) and/or defect tracking systems (i.e., JIRA.
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2+ years deploying APIs into the Microsoft Azure Public Cloud. 1+ years working with the Microsoft Information Protection (MIP) SDK. 2+ years working with Entra ID (formerly Azure AD) Tenants in an enterprise environment.
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3+ years implementing and supporting Microsoft Azure infrastructure and topologies (or demonstrated experience form with AWS or GCP) With 100% focus on Azure, they are the ideal Azure consulting partners for their customer’s journey to cloud adoption and optimization with the Microsoft Azure platform.
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Cloud Computing on International Business Machines Decision Optimization Center (IBM DOC), Amazon Web Services (AWS), and Microsoft Azure. Cloud Computing on International Business Machines Decision Optimization Center (IBM DOC), Amazon Web Services (AWS), and Microsoft Azure.
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Wiki (Atlassian), CI/CD Pipeline, tesla, Azure Just-in-Time (JIT), VM Access, Azure Cloud Services (Classic), Azure Active Directory, Azure Automation Accounts. Experience with software tools such as Microsoft ADO, SharePoint, PowerBI, Helix, Confluence or similar.
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Proficiency in Microsoft technologies (Windows Server, AD, SQL, IIS) and cloud computing, specifically Microsoft Azure. Strong knowledge of network infrastructure, Microsoft technologies, and related infrastructure (storage, virtualization, backups.
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