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This will involve overseeing the design and maintenance of data pipelines using Python, Spark/PySpark, BigQuery, GCP, SQL and visualizations such as Tableau or Power BI. You will also assist on implementing data architecture best practices, including data warehousing, data lakes, and cloud-based solutions.
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Administer cloud-based infrastructures including VMware Cloud on AWS, Azure, AWS, Oracle Cloud (OCI), and Google Cloud (GCP). Management of data center hardware including HPE BladeSystem c7000, HPE Synergy, HPE Superdome Flex.
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Experience in building / deploying the applications to Cloud Platforms like AWS, GCP, Kubernetes. Familiarity with the Vue.js ecosystem, including Vue CLI, Vuex, Vue Router. Highly proficient with Vue.js framework and its core principles such as components, reactivity, and the virtual DOM.
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Expert in Cloud & Data Technology and the market trends within GCP, Azure, AWS, Data Bricks & Snowflake ecosystems. Extensive history working with end-to-end data and analytics solutions (BigData, Cloud, Advanced Analytics, MLOps.
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The Linux System Administrator is responsible to develop and manage the county's computing and infrastructure systems on private and public cloud environments (AWS, Azure, GCP). Hands-on administration experience of Oracle Enterprise Manager (OEM) and familiar with different management tools (e.g., OMC, OCI O&M) in the Oracle Cloud Infrastructure (OCI) environment.d. Experience with Java and Shell scripting.
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You are versed in cloud computing systems (GCP, AWS, etc.) You like working with Google Cloud Platform, Kubernetes, Docker, Git, Golang, Java. The role is a rare opportunity to join a fast-growing Series B startup that doubles as a B-corp social enterprise.
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One or more cloud security certifications (AWS, Azure, GCP, CCSP). Significant penetration testing experience and offensive capabilities in key focus areas including web applications, mobile applications, networks, cloud, and infrastructure.
$136,038 - $182,490 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 10 years of Solutioning and Architecting experience for major cloud platforms and their AI/ML offerings (Snowflake, Databricks, AWS Sagemaker/Bedrock, GCP AI Platform/Vertex AI, and Microsoft Azure ML.
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Provision and automate cloud infrastructure/platforms to support AI resources on Azure (or other cloud providers like GCP), including AI/ML Studio, Cognitive APIs, Azure Open AI, API Manager, Vector Store, Azure Databricks, and CPU/GPU compute clusters.
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Experience and working knowledge of cloud security principles and cloud platforms such as AWS, Azure, and GCP. Strong understanding of basic communications protocols and networking Experience and working knowledge of containers and container platforms You should know This position’s work mode is hybrid.
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Develop knowledge of emerging modern data platforms, Databricks, Snowflake, cloud (AWS, Azure, and/or GCP), data strategy (monetization, governance, etc.) This role will focus on delivering transformational modern data platform, data strategy, and cloud solutions as well as providing clients with thought-leadership on applying new technologies to innovate their business.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Broad experience deploying production-grade machine learning solutions on-premise or in the cloud.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Experience with public cloud architectures (Azure, ASW or GCP) and cloud native services. Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process.
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In-depth knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation). 7+ years experience working in one or more of the following fields: DevOps, cloud, product management, information technology, IT service management, or related field.
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Amazon Web Services (AWS), Google Cloud Platform (GCP) & Microsoft Azure and Web &. Planning, developing, and testing Business Intelligence programs using Data Warehousing tools such as Informatica, IBM-Netezza, SQL, MicroStrategy, Oracle, Cloud Platforms such as.
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