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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Design and implement complex data models on Azure Synapse Analytics to support data warehousing and big data solutions. Minimum 5 years’ experience with Data Modeling, ETL, and Data WarehousingMinimum 3 years’ hands on experience with Azure Services.
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Azure certifications such as Azure Solutions Architect Expert, Azure Developer Associate, or Azure Administrator Associate are highly desirable. Experience with DevOps practices and tools such as Azure DevOps, Git, Bamboo, Jenkins, GitHub.
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Build robust data integration services using Java Spring Boot API and Azure cloud services and manage Collibra platform deployments and upgrades on cloud VMs. Experience in developing data integration services using Java Spring Boot API and deploying solutions on Azure cloud services.
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Seamless integration with On-prem databases and Power BI reports Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform. Role DescriptionWe are currently seeking a talented and motivated senior Azure Data Engineer to join our Risk Technology Team. The role will be responsible for developing, deploying solutions for risk, regulatory, compliance projects on Azure platform and be at the forefront of on-prem to cloud migration initiative.
$205,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Primary focus on Java application development and enhancements using Java, Python, SQL, Snowflake DB, Databricks spark/Notebook, Azure Blob storage. Experienced Azure Blob storage, Maven, and JUNIT.
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P Position Summary Hands-on Working knowledge of Azure-native technology stack like Azure AD, Defender for cloud (CSPM) & Identity, PIM, Conditional Access, Defender for Identity, AIP, Azure Log Analytics, Azure Monitoring, Azure Key Vault, Hands-on Working knowledge of Microsoft 365 security suite (Defender for Endpoint, Information Protection, Purview, DLP, EOP, Intune (MDM/MAM) and Defender for cloud Apps.
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Knowledge and ability in all aspects of a Windows workstation environment (Windows 10/11, O365, Azure Active Directory, Teams/Zoom, Intune and modern desktop management, Autopilot, mobile management, Device as a Service, WiFi, VPN, collaboration and conferencing solutions, Virtual Desktop Infrastructure (VDI), user persona or profiles, asset management via CMDB/AD.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Microsoft Azure Cloud Engineer Job Responsibilities:-Focus on optimizing existing systems, building infrastructure, and eliminating work through automation. -In-depth knowledge of security and IAM/RBAC within Azure, including the management and operation of Azure ASG, Azure Key Vault, Azure NSG, Azure AD, Azure Security Center, Azure Policy, and Azure Management Group/Subscriptions.
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You are an experienced and highly motivated senior Cyber Security Operations Center (CSOC) analyst engineer with extensive expertise in Security Information and Event Management (SIEM) focusing on Sumo Logic, incident investigation, Security Orchestration, Automation, Response (SOAR), and threat intelligence.
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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 cloud infrastructure technologies with AWS, Azure, and Google Cloud Provider. Lead the deployment and support of various technologies including POS systems, Kitchen Management Systems, mobile ordering systems, and other retail/restaurant specific applications running on enterprise managed customized hardware.
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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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Contemporary and innovative approach: Develop novel solutions using modern platforms (e.g., Cloud based platforms like Azure, AWS, GCP), languages/technologies (e.g., Python, Spark, SQL, DBT), Orchestration (ADF, Airflow, Dagster) and tools (e.g., Power BI), with an ability to build IP into reusable software.
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Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform. Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$247,200 a yearFull-timeExpandApply NowActive JobUpdated Today
on azure jobs Company: Cedar Cares in Newark, NJ
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