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The ideal candidate will have a minimum of 8-10 years of relevant experience, with a focus on Azure Databricks environment, ML Ops, ML model drift monitoring, Databricks Feature Store, and proficiency in utilizing tools like Jira and Confluence.
$165,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Knowledge in Microsoft enterprise cloud technologies such as Dynamics 365 CRM, Office 365, Microsoft Azure. - Experience with Microsoft Azure platform and service (Power BI, Flow, Cortana, etc.
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O 7+ years of hands-on experience with Azure migrations, Azure Security, Azure SQL, Azure Active Directory, Terraform, Infrastructure as Code, and disaster recovery.
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Advance Experience in Hybrid cloud environments with Azure, AWS, or GCP and Linux based on-prem environment. Hands-on experience building platforms from ground up using resiliency patterns, observability, continuous delivery, and infrastructure as code.
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Build a distributed in-memory application using spark applications and perform analytics efficiently on large datasets using python and Spark SQL, also use Spark SQL to implement transformation logic in Databricks and mount/unmount Azure Blob Storage.
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Microsoft: Azure Administrator, Azure DevOps Engineer, Azure Architect, MCSE. Proficient with correlation and monitoring solutions such as Splunk, Application Insights, Azure Monitor, or SCOM.
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Multi-cloud experience is preferred, with emphasis on implementing Microsoft Azure enterprise solutions. 4-5 years of demonstrated hands-on experience in designing and configuring secure and scalable cloud platform patterns on Azure.
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Stay proactive regarding new Microsoft Power BI Service, gateway, and desktop releases, evaluating their impact and taking necessary actions. Comprehensive understanding of Microsoft Power BI products, licensing, and integration within complex environments.
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Hands On Experience on EKS IRSA ,EKS NODE GROUPS , NAMESPACES, RESOURCE QUOTAS CALICO CNI , NETWORK POLICIES KUBERNETES CONTROL PLANE , CLUSTER AUTOSCALER , EXTERNAL DNS , SIDECAR INJECTOR ,NGINX HTTP-HTTPS, SSL-PASSTHRU INGRESS CONTROLLERS ,ISTIO , PROMETHEUS, THANOS , FLUENTBIT ,KEDA , ARGOCD , ARGO ROLLOUTS , AIRFLOW STREAMING SERVICES , CONFLUENT KAFKA ,NATS ROUTING SERVICES ,HAPROXY NGINX PLUS ,APIGEE AUTOMATION ,JENKINS ,PYTHON , TERRAFORM , PACKER PACKAGE MANAGERS HELM.
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Azure DevOps, Relational Database, Azure Test plans, HP Loadrunner or Neo Load or any Custom. Azure DevOps, Relational Database, Azure Test plans, HP Loadrunner or Neo Load or any Custom Perfomance Test framework design experience.
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Hands-on experience with CI/CD tools and processes, particularly Azure DevOps. Automate deployment processes and CI/CD pipelines using Azure DevOps + YAML Pipelines. Azure Automation Engineer (IaC.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Microsoft Dynamics 365 Manufacturing Manager. The D365 Finance & SCM Manager will be focused on leading and/or architecting solutions for D365 Finance & SCM opportunities, managing the project solution scope with customers, assisting project management to deliver the solution, and providing the application functionality leadership and direction for customer team members tasked with implementing the solution.
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Work with Microsoft Azure resources to understand and suggest best practices of running SAP work laods in Azure. Ability to lead and actively participate doing hands-on work in Proof-of-Concept projects to demostrate certain architecture, Cyber resiliency, High Availability capabilities for the proposed solution.
$65 - $70ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
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Hands-on experience with Databricks for data analytics and pipeline creation. Relevant certifications in cloud platforms (AWS, Azure, GCP) and data engineering tools (Databricks, Kafka) are a plus.
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