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Area of Specialization: Data Management, Computer Science/Software Engineering, DevOps or related discipline Engineering, Cloud Infrastructure, cloud computing or related discipline - Specialized knowledge in data management, software implementation, cloud computing, etc is needed to manage Onyx products.
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GCS, s3)- Analytical problem-solving skills, ability to analyze application logs to troubleshoot issues- Familiarity with Cloud Computing (GCP a plus)Nice to have- Experience with Javascript- Hands on work with Airflow- Exposure to producer/consumer messaging systems- Has led a small team of developersIQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry.
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You have sound knowledge of cloud computing concepts & technologies, such as Kubernetes, Kubeflow, OpenStack, AWS, GCP, Azure, Ceph, etc. Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, Hadoop and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud.
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Help global companies embrace the latest private cloud infrastructure, Linux and cloud native operations, and open source applications. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project.
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Working knowledge of Visio, PowerPoint, Cloud Computing, ACL, Data Analytics Lawson/Infor and Epic systems experience a plus. Working knowledge of Visio, PowerPoint, Cloud Computing, ACL, Data Analytics Lawson/Infor and Epic systems experience a plus.
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Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP. We are hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes.
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The Senior Internal Auditor and Analyst is responsible for leading, planning, and executing integrated IT risk-based audits of operational, financial, and clinical functions from planning to audit issue follow-up under the direction of the Director of Internal Audit.
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Continuous Improvement: Stay up to date with the latest trends and technologies in IT infrastructure and cloud computing. Expertise in IT infrastructure and cloud technologies, including Azure, Windows Server, Active Directory, Entra ID, M365, Exchange, SQL Server, SharePoint, etc.
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Advanced degree or relevant certifications in data engineering, database management, or cloud computing is a plus. Technical Skills: Strong proficiency in data engineering technologies and tools, including database systems, ETL frameworks, big data platforms, and cloud services.
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A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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General understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing) For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
$97,760 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proven experience in cloud computing (AWS, Azure, Google Cloud) and cloud architecture. Our team is a melting pot of experienced professionals and vibrant technologists, all united by a shared passion for innovation.
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Master's degree or additional certifications in cloud computing, such as AWS Certified Solutions Architect Professional or Microsoft Certified: Azure Solutions Architect Expert, are highly desirable.
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Leadership in root cause analysis and risk mitigation 5+ years of experience in one or more of the following Distributed systems and cloud computing (Azure, AWS, etc)Document storage technologies (MongoDB, AWS S3, etc.
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Industry expertise within Data Warehousing, Data Engineering, Data Science, Business Intelligence, Data Analytics and/or Cloud Computing. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users.
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