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Prior experience related to solutions deployed on Microsoft Azure in a PaaS model. Experience with Azure DevOps development and deployment tools. Azure DevOps with GIT flow.
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Additionally, you will work with Databricks workspaces and interface with the Microsoft and OpenAI Generative AI Large Language Model. As the Software Engineer - AI, your main responsibilities will revolve around the analysis, design, and development of solutionsutilizingthe Azure OpenAI Large Language Model.
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Deep knowledge of Microsoft technologies Active Directory and Azure Active Directory, privilege access management solutions like CyberArk, access control platforms like SAP GRC. Deep knowledge of Microsoft technologies Active Directory and Azure Active Directory, privilege access management solutions like CyberArk, access control platforms like SAP GRC.
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Experience with cloud technologies (such as Microsoft Azure or AWS) and containerization (Docker or Kubernetes). Familiarity with frontend technologies like HTML5, CSS3, and JavaScript frameworks (React, Vue.js.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.
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Experience working in a Microsoft Azure environment Since 1997, government agencies have relied upon [immixGroup]( Experience integrating applications with ERP solutions like Microsoft Dynamics 365 Finance & Operations, Microsoft Great Plains or Oracle ERP.
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Five years of experience operating infrastructure in Microsoft Azure. This person will help build our Citrix stack on top of a Azure and VMware environment. Minimum 3-5 years' experience with engineering and administration of remote access gateways covering Citrix, Cisco and Juniper product lines.
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Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos · Strong skills in databases, data warehouses, and data processing · Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack, etc.
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Experience using Splunk, PingFederate, Microsoft Azure,Salesforce and Jira. PingFederate and Microsoft Azure etc. Proficiency in Microsoft Office, including Sales Force, and advanced Excel skills.
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Cloud Platforms: Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) for deploying and managing applications in the cloud.
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Azure Application Security Access Setup. 1 year programming experience Microsoft Blazor (webassembly version Not Server version) 1 year Microsoft Entity Framework Experience. Will code using Microsoft Entity Framework.
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5+ years of experience in designing and building data pipelines on Azure using Azure Data Factory, Azure Synapse, Azure Databricks or Microsoft Fabric. Solid understanding of Delta Lake and Lakehouse architecture in Microsoft Fabric.
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Relevant certifications such as AWS Certified Cloud Practitioner, Microsoft Certified: Azure Fundamentals, or CompTIA Network+ HCDS Technologies is a non-profit collaborative technopreneurship firm based in Princeton, NJ. It is a sovereign, republican, socialist, liberal, and ethical organization.
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Relevant certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect,) are a plus. Expertise in cloud computing platforms such as AWS, Azure, or Google Cloud, including knowledge of their multiple services.
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Consultant in the Data & Analytics Practice, with a focus on Data Management, Data Warehousing, and Modern Data Architecture, specifically in Microsoft Azure. Working with Healthcare, Life Sciences, and Retail companies in the Greater Philadelphia Area to accelerate their data management strategies along the entire modern data architecture pipeline, from systems integration to data warehousing through to self-service BI. Leveraging my experience with Azure PaaS technologies and Power BI, I have had the pleasure of working with a number of local companies to deliver robust solutions and best practices to help them along their data journey.
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