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Implement Azure Defender EDR policies, Purview DLP, for Azure Iaas/PaaS/SaaS/Microsoft 365, with Sentinel integration, and Security Center and Compliance Center for monitoring and managing security and compliance-related configurations.
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Familiarity with Azure services relevant to PowerApps, such as Azure Logic Apps, Azure Functions, and Azure AD. We are seeking a Microsoft Power Platform Developer with a strong background in Azure cloud services.
$70,000 - $110,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Perform complex application design and programming activities in the latest technologies: Java, Node, REST, microservices, AWS/Cloud infrastructure, Kubernetes, Docker, Jenkins, Azure DevOps, GitHub Enterprise.
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Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
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Experience with CI/CD pipelines and infrastructure as code (Azure DevOps, Terraform, ARM templates). Deep expertise in architecting and scaling web applications within the Azure ecosystem.
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Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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Strong experience in TOSCA, CI/CD and Azure DevOps integration. Experience with Defect tracking tools like Jira or Azure DevOps. Strong experience in TOSCA, CI/CD and Azure DevOps integration.
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Experience in developing & building high to medium complex data pipeline for Enterprise Data Hub using ADF, Databricks, DBT, Azure Cloud Services, MS SQL Server ADW/DB, Python, PySpark, Devops. Deep knowledge & understanding of Azure technology stack: Azure Data Factory, Databricks, Synapse SQL Architecture, Azure DevOps.
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Certification(s) in cloud technologies (e.g., Microsoft Certified: Azure Administrator Associate, AWS Certified Solutions Architect). Knowledge of DevOps practices and tools (e.g., Azure DevOps, Jenkins, Git.
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Azure Cloud: Azure SQL Database, Azure Data Lake, Azure Data Factory (ADF), Azure SQL Data Warehouse, Azure Service Bus, Azure analysis service (AAS), Azure Blob storage, Azure Search, Azure App service, Redis cache using pipeline and SSIS, infrastructure as a service(IaaS), Database as a service (DBaaS), Data Migration service (DMS.
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Reporting to the IT Manager, the Cloud Administrator will be responsible for managing and maintaining administration on O365, acting as the SharePoint and Azure Administrator, managing Azure Active Directory, On-Premises Active Directory, DNS, DHCP, and more.
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Agile Development Methodologies / Agile Planning Tools - Azure DevOps, etc. JOB REQUIREMENTS D365 Functional Analyst (5+ years) - F&O / SCM / Project Accounting / Procure-to-Pay / Order-to-Cash.
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Preferred Qualifications Knowledge of Mac and Jamf Administration Knowledge with administrating Office 365 Experience with Azure and AWS Cloud Knowledge of Azure AD Bash scripting knowledge Experience working with cloud and virtualization technologies Experience with Windows Server Administration EDUCATION and/or EXPERIENCE Bachelor’s degree in a related discipline or combination of education and experience.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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