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Prefer that the candidate have one of the following certifications: AZ-305 – Microsoft Azure Architect Design DP-100 – Designing and Implementing a Data Science Solution on Azure DP-203 – Microsoft Certified: Azure Data Engineer Associate DP-500 – Azure Enterprise Data Analyst Associate Additional information: Benefits Included: Medical, dental, and vision coverage designed to help you and your family live a healthy lifestyle.
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Oversee the integration and optimization of tools within the Microsoft 365 and Azure ecosystem , including Power Platform (Power BI, Power Automate, Power Apps), SharePoint , and Dynamics 365 , to enhance business processes and improve data-driven decision-making.
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This role requires extensive experience in program management, tooling, and automation, with a strong focus on Microsoft technologies such as SharePoint, Dynamics 365, Power Platform Suite, Power Query, Dataflows, Azure DevOps, GitHub, and cloud resources.
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Bonus points for candidates who are well versed in IaC and have working experience with Terraform HCL directives and modular interpolations and/or Azure Resource Manager ARM/Bicep/DevOps Pipelines and/or obtained Microsoft Azure Certifications in Administration, Development and/or Azure DevOps.
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Microsoft Azure, Azure DevOps, Networking, Load balancers, DNS and Azure services. Good understanding and solid experience with products such as Azure DevOps, Git, GitHub, GitHub Actions, Ansible, Hashicorp, Rancher, etc.
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Desired Skills Microsoft Certified Azure Virtual Desktop Specialist or Azure Administrator Associate Google Cloud Engineer CompTIA Network+, CompTIA Cloud+ Cisco Certified Network Associate (CCNA) , About Secured Today, Secured is one of the only cybersecurity and technology firms capable of applying over 20 years of experience in classified cyber operations to privacy and security solutions for the masses.
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Experience managing vulnerabilities in both on-premises systems and in cloud environments, (e.g. Amazon Web Services, Microsoft Azure, Google Cloud, and Data Centers). Specific systems include Tenable, Nessus, Invicti, Splunk, and other vulnerability management solutions (e.g., enterprise patch management.
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Backups Technologies: Veeam, Rubrick, Azure backups, Carbonite, Datto. 5+ years of working knowledge and diagnosis skills of Hardware/Software such as: Laptops and Desktops Computer Networking, Network Printers, Scanners, Ethernet, LAN/WAN, AD, DNS, Microsoft Office Applications, Citrix, Internet Protocols, Wireless Networking Protocols, Ticketing Systems, and VoIP Phone system.
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Technically strong in D365 with extensive hands-on Microsoft Power Platform experience including D365 Customer ExperienceExperience insights into UI/UX, hands on with Canvas app. Experience working in Azure DevOps environment.
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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Possess current relevant certifications with Microsoft 365 and/or Azure, Cisco CCNA or Meraki, CompTIA Security+ and/or Network+. A./B.S. degree in computer science or systems management and 7+ years of related work experience in developing, implementing, and supporting on-site and hosted environments (Windows Server 2019+, Microsoft 365, Azure, and AWS.
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8+ years of experience with large enterprise/cloud-level information technology, cyber security, and complianceExperience with Oracle Cloud Infrastructure (OCI), or related experience from AWS or Microsoft Azure, and developing cloud architectures.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) 4+ years of experience with AWS, GCP, Azure, or another cloud service. Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks.
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