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Microsoft Azure Administrator and Microsoft Azure Architect Certification. Produce detailed documentation for any Azure native resource deployed including, but not limited to, Load Balancer, Virtual Network, Firewall, Storage, API, App Registration, Third Party Appliances, Monitoring, Peering, Workbooks.
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Five years of experience implementing cloud architecture patterns and cloud platforms like Azure or AWS. Five years of experience with source control systems such as Azure DevOps.
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Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Management and migration to Microsoft Azure Active Directory Modern Management from legacy AD domain joined environments, including GPO translation and conversion.
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Experience deploying and automating data pipelines using Azure Databricks and Azure DevOps. Minimum 9 years of experience with Data Engineering background with deep understanding of Databricks Architecture, Power BI Architecture, and Data Lake Architecture.
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Experience in Snowflake, Databricks, or Azure Data Factory. Approximately 3-5 years in designing, developing, and implementing data and analytics strategies and solutions including data governance, data quality management, master data management, data architecture and modelling, data engineering, AI, ML, and other emerging technologies.
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Knowledge and experience with any of public cloud providers including Oracle, Amazon Web Services (AWS), Azure or Google (GCP) architecture, tools, and cloud methodologies. Writing technical proposals for US federal government customers seeking Oracle Cloud services and task order solutions (sizing and architecture.
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Proficiency in using Azure DevOps for CI/CD processes and familiarity with cloud architecture principles. NET applications tailored for cloud architecture, primarily focusing on Azure services.
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Must-have skills: 8+ y with Data Architecture and Modeling: Data Warehouse, Data Lake, Data Modeling; 10 + y with Data Pipeline and Processing: Data Pipeline, ETL, Kafka, Data Mesh, Data Fabric; Programming Languages: SQL, Python ; Databases: Relational and NoSQL (Document, Graph, Key-Value); Cloud Platforms: Azure, AWS; enterprise architecting exp.
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NET applications to Azure cloud, including familiarity with Azure App Services, Azure SQL Database, Azure Functions, and Azure DevOps. Establish and maintain a CI/CD pipeline using Azure DevOps, ensuring smooth deployment and operation of.
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Knowledge of Azure Cloud resources & tools and Microservices with demonstrable proficiency in how cloud service offerings support solutions for multiple architecture disciplines or focus areas.
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The Data Warehouse Architect will participate in the design of the technical and information architecture for the data warehouse, including all information structures (staging area, data warehouse, data marts, and operational data stores.
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Net web technologies, Visual Studio, Azure DevOps or other CI/CD tools, providing leadership, knowledge, and experience to delivery teams on the architecture, design, and delivery of cost effective and sustainable solutions.
$129,935 - $194,805 a yearFull-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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5 years of documented experience designing, implementing, and administering DevOps solutions in a cloud environment such as Azure or AWS. Knowledge of data governance frameworks and compliance regulations, like the Health Insurance Portability Accountability Act (HIPAA), relevant to data management and privacy.
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GIT and Azure DevOps experience is a must, as as knowledge of how to set up CI/CD pipelines. Understanding of software development lifecycles, planning, and implementation; familiarity with SAP architecture; experience with SAP Data Services and Fiori; and knowledge of the distribution industry's sales, marketing, and pricing components are all pluses.
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NET application to a newer and supported framework and architecture, with a primary focus on the Onsite Sewage Program's (OSP) application. Experience moderating and leveraging Azure DevOps.
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