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Microsoft: Azure Administrator, Azure DevOps Engineer, Azure Architect, MCSE. Experience with administration, automation, and orchestration of large-scale Windows and Linux environments using configuration management solutions, Knowledge in administering and managing infrastructure as code (git, Azure DevOps (VSTS), Azure CLI, ARM, Terraform, PowerShell.
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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He/She will be a Subject Matter Expert (SME) on Cloud, Microsoft Cloud, Azure, DevOps within the division, and will be expected to champion the focus on Microsoft Azure. Experience with Azure Resource Manager, Resource Groups, Virtual Networks, Azure Virtual Machines, Azure Blob Storage, PowerShell DSC, Azure Automation, Azure Active Directory, and Azure Site Recovery.
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The Enterprise Cloud Team is looking for a Senior Cloud Engineer with hands-on Microsoft Azure cloud engineering experience and required Databricks infrastructure, performance, hands-on.
Full-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proven experience as a Microsoft Entra (formerly Azure) Administrator, specializing in Intune, Defender, and the Microsoft 365 suite. Relevant Microsoft certifications, such as Entra (Formerly Azure) Administrator Associate or Microsoft 365 Certified: Modern Desktop Administrator Associate, are highly desirable.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Expertise in building robust data engineering frameworks, Azure cloud, python/JAVA/Scala, and Data bricks (Apache Spark). Leverage Azure Hyperscale SQL Server knowledge to do performance tuning to have applications running at optimal levels to meet SLAs. Should have Snowflake knowledge to Leverage Snowflake’s Data Cloud and the latest advancements in data migration and customized solutions to build POCs and prototypes that demonstrate value to clients.
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Advise clients on design and development of cloud security Zero Trust architectures for cloud/hybrid systems deployed across multiple cloud service providers, including AWS, Azure, GCP, and VMware NSX.
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You will be part of a team that is supporting cloud Data Warehouse and Data Lake environments implemented on AWS or Azure for some of Epsilon's most prominent Database Marketing clients. At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar.
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Posses one or more cloud certifications such as AWS Solutions Architect, MS Azure Solutions Architect, GCP Cloud Architect, ISC2 CCSP. 5+ years of knowledge and technical hands-on experience managing/deploying cloud capabilities with one or more cloud environments (AWS, Azure, GCP, OCI.
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Good verbal and written communication skills Additional Skills - Experience on GitHub, Service Now, JIRA. - Experience on Ruby / Ansible / AWS / Azure / GCP / Terraform / Docker. Hands on with azure repos and azure devops and integration of azure devops to aws via terraform.
$47 - $52ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Engineer role at Canonical.
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Experience with ETL tools such as IBM Infosphere Datastage, Azure Data Factory. Extensive experience with designing and implementing Data Lakes or similar solutions both on-premise/on-cloud (AZURE/GCP/AWS.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks.
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Hands-on development skills key technologies - Java/Groovy, Ansible, Infrastructure-as-Code (IaC), Docker, Cloud Kubernetes, AWS Lambda/Azure Functions, NoSQL such as MongoDB or DynamoDB. 4+ years in Cloud software development (AWS and *nix is the preferred environment), with a focus on Infrastructure-as-code tools like AWS CloudFormation, Azure Resource Manager or Terraform.
ExpandApply NowActive JobUpdated 4 days ago
azure job Title: machine learning engineer Company: Advantis Global in Irving, TX
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