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Administer cloud-based platform solutions including Microsoft Azure AD, Microsoft Dynamics 365, Vonage, eClinicalWorks, Giva, and others by granting/revoking user access as requested and approved.
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Certification in cloud computing (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate, Google Cloud Certified - Professional Data Engineer). Manage data infrastructure on cloud platforms such as AWS, Azure, or Google Cloud.
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Experience with the SDLC lifecycle & knowledge of relevant tools(Including but not limited to Azure DevOps, Jenkins, git, GitHub, Gitlab, Atlassian products). Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture.
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Microsoft Dynamics 365 Manufacturing Manager. Experience working with and/or implementing complimentary third party solutions to D365 product including ADC, EDI, WMS, CRM, ECM, and Plant Maintenance desired.
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Hands-on experience with modern CICD automation eco-systems such as Azure DevOps and pipelines, Terraform, Azure Resource Manager, AWS Cloud Formation, Kubernetes, GitHub, and configuration management tools such as Puppet, Chef, or Ansible.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Working knowledge of Azure data platform – data factory, data catalogs, data lake, analytics, Azure storage options, Azure SQL, Cosmos DB, Azure DevOps, etc. Experience with Azure DevOps (ADO) or Jira.
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Public Cloud: AWS, Azure, GCP, or Alibaba. Experience creating serverless applications (AWS Lambda, GCP functions, Azure Functions) Experience with modern Node ecosystem, including front-end frameworks and tooling such as ReactJS, Vue.js, Svelte, Next.js, Gatsby, Remix.
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Experience or knowledge in building applications that leverage LLMs as a service, like Vertex AI LLM APIs (PaLM, Gemini), Azure OpenAI API, Amazon Bedrock. Familiarity with cloud technologies and platforms such as Azure, AWS, or Google Cloud Platform.
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Infrastructure as Code Tools : Ansible, Terraform, Chef, Puppet, AWS CloudFormation, Azure Resource Manager. Cloud platform certifications: Cloud Solution Architect with AWS, Azure or GCP.
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We focus on contributing to PwC’s value proposition of “strategy led and technology enabled”, by aligning our Consulting Solutions’ industry focus with the Microsoft technologies such as Dynamics 365, Azure, Power Platform and Power BI.
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Experience with continuous integration & delivery (Azure DevOps, JIRA, etc.) Proficiency in cloud-based SQL Environments (BigQuery, Snowflake or RedShift), SQL, and at least one object-oriented language.
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Proven experience and proficiency with below compute technologies and related activities: Technology solutions: Dell and HPE server Cisco UCS VMWare vCenter Products Nutanix HPE Storage (MSA, Nimble) Storage Cashing Technology (Nasuni, Talon, Pandora) Object Storage (EMC ECS, Azure, AWS) Archive product (Komprise, HubStore, Enterprise Vault) Backup Product (Veeam, Networker, DataDomain, Avamar, NetBackup, Commvault) Server sysadmin or similar role with in-depth hardware knowledge.
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Spark, the Spark ecosystem, and related tools like Databricks and Azure Synapse Notebooks. Microsoft Azure, particularly Azure Synapse Analytics, Azure Data Factory and/or Azure Data Pipeline.
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Experience and understanding of common principals of CMDB Discovery – common challenges, access requirements, best practices for cloud (AWS, Azure, Alibaba) discovery, discovery of container technologies (i.e. Kuberentes, EKS, RedHat OpenShift.
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azure dynamics jobs Company: Serigor Inc in Brentwood, TN
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