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Best-in-Class Tech Stack: Work with top-tier tools like Segment, mPartical, PowerBI, Tableau, Microsoft Azure, Google Big Query, Python, Google Workspace, Slack, ClickUp, Zoom and more ensuring you have the resources you need to excel in your role.
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Modern Management - Mobility and Security Solutions in any of the following: Microsoft Intune; Autopilot, Desktop Analytics, Conditional Access, identity governance, Azure Active Directory (AAD), Microsoft Cloud App Security (MCAS); Advanced Threat Analytics; Defender for O365, Microsoft Endpoint Configuration Manager.
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Experience with AWS, Microsoft Azure or Google Cloud Platform configuration and administration of security features and services (including identity and access management, networking, firewalls, encryption.
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Big data Azure AWS Hadoop CIA Confidentiality Integrity Availability SLA Service Level Agreement Jira Confluence Release Manager PIISPII Secret Personal Identifiable Info ITMS Info Tech Mgmt Sys PDLC Java Requirements Traceability Matrix RTM Azure DevOps IT Infrastructure Projects Communicate upgrades maintenance etc to prevent outages.
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Such as CompTIA A+, Microsoft Certified: Azure Administrator, or equivalent. such as CompTIA A+, Microsoft Certified: Azure Administrator, or equivalent. mobile devices and tablets in Intune, SCCM and ABM as needed.
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Experience with automating secure access to AWS services like (Redshift, Athena, S3), Microsoft O365, Microsoft Azure, Snowflake, PowerBI. Familiarity with cloud platforms such as AWS, Snowflake, Azure, or Google Cloud.
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NET Core) and ASP.NET Experience developing single-page web applications using either Angular 7+ or React Demonstrated experience in Azure based solution implementation, including: Azure technologies, such as: Azure Logic Apps, Azure SQL and Azure Service Bus and Azure API Manager Azure DevOps and Visual Studio for code development, management, repositories and deployments (CI/CD) integrating custom built apps with third-party systems, including Microsoft Dynamics 365 CRM.
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Skytap, a Kyndryl Company is a global Infrastructure as a Service, deployed across 9 Microsoft Azure and 6 IBM regions with 7 new Azure regions on the way. Our software platform turns raw infrastructure provided by our cloud partners into a secure, self-service, multi-tenant IaaS. For example, an Azure customer using the Skytap service can deploy an IBM i instance in seconds, connect it to an Azure data service, run experiments, delete the entire stack an hour later, and pay for the usage with existing Azure financial commitments.
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Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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Experience with data integration, ETL processes, and real-time data streaming. Experience with integrating other external applications like Sailpoint. Knowledge of data governance and data privacy regulations.
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Certification in Public Cloud Technology from one of the major Cloud Service Providers such as AWS Certified Solutions Architect, Microsoft Azure Architect, Google Cloud Architect. Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
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Certifications: Certified Incident Handler (GCIH)Certified Information Systems Security Professional (CISSP)Microsoft Certified Azure Security Engineer (AZ-)Certified in Cybersecurity (CC)Systems Security Certified Practitioner (SSCP) Certified Cloud Security Professional (CCSP) Work Environment: General office environment will be experienced.
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Familiarity with cloud services (e.g., AWS, Azure, Google Cloud) and experience in cloud migration, cloud architecture, and cloud security. The Deputy Chief Technology Officer, Corporate Systems Products is responsible for leading and managing product development portfolios that support MTA corporate operations.
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Have knowledge about data engineering concepts, tools and automation processes (DataOps) since data pipelines and architectures provide the base for building AI solutions.
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At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) At least 6 years of experience in DevOps Engineering (Internship experience does not apply.
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microsoft azure jobs Title: engineering manager Company: Jobget in New York, NY
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