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Experience with implementing ML solutions with two, or more, cloud frameworks (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI) The Machine Learning practice designs and delivers innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 2+ years of experience with AWS, GCP, Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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An in depth understanding of Cloud solutions (AWS, Azure and/or Google Cloud Platform) and experienced in integrating into traditional hosting/delivery models. Experience with two or more of the following areas including Oracle 11g, Oracle Exadata, traditional data marts, Hadoop, Databricks, Snowflake, Data Stage, ETL, Tableau, Qlikview, AI/ML techniques, Java, Impala, Hive etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with a native distributed computing environment (we use Kubernetes across on premises data centers and Google Cloud Platform) Strong working knowledge of SQL and NoSQL Datastores (we use SQL Server and Google Big Query.
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Preferred Qualifications:If you have the following characteristics, it would be a plus:Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, AzureExperience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
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Understanding Cloud Infrastructure and technologies such as Microsoft Azure/Entra ID and Google Workspace. We are looking for an experienced Senior Systems Administrator to provide scalable, high-level IT support and automation for cloud and desktop services.
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Hands-on experience managing GCP key components like Google Kubernetes Engine (GKE), Cloud Run, VPC, Pub/Sub Cloud Monitoring, deployment manager and Compute engine. Title: Google Cloud EngineerLocation - mostly remote, may come on site once a quarterRate - open, they would like to see different levels.
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Provide support for Mac and Windows integrated with cloud technologies from Microsoft Azure, Dropbox, Office 365, Google, and many more. On an ongoing basis, manage small projects (as needed), deliver and remove computer equipment, assign, update, and report on client tasks/tickets and effectively communicate technical issues and project execution with Client Manager and Network/Server Engineer.
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Ability to operate or to quickly learn the stores point-of-sale system Technical acumen to learn necessary software; experience with Google Cloud G Suite, including Docs, Sheets, Slides, and forms preferred.
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AWS/Azure/Google Cloud Platform. Power BI Reporting and ETL Centralization : Collaborate with data engineers to build out reporting using Microsoft Power BI. Develop and implement Extract, Transform, Load (ETL) jobs to centralize FinOps reporting across multiple cloud providers.
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Experience working across varying facets of the technology stack and with various public cloud environments (eg, AWS, Azure, IBM Cloud, Google Cloud Platform) Knowledge of IT and operations strategy topics (e.g. IT strategy, business transformation, operating models, operations optimization, cost take-out, business / product build, digital enablement, big data and enterprise architecture, strategic data management.
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Identify and supervise best practice techniques in our Data Team’s usage of our development, pre-production, and production platforms and tools, including Google Cloud Platform, BigQuery, Cloud Storage, Cloud Composer, Tableau, Apps Script, Jira, Bitbucket, Google Workspace, Professionalize the Team’s testing, deployment, and support practices with knowledge of CI/CD and SRE best practices.
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This role requires years programming experience with at least one or more database such as MySQL, PostgreSQL, and Redis on the AWS Aurora/Elasticache, Google CloudSQL/Memorystore, and Azure Database/Cache platforms, preferably on a cross Linux/Windows platform.
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Experience working in MS Office Suite (Office, Excel, and Powerpoint) and Google Cloud Applications (Google Docs, Sheets, Presentations). Supervise, coordinate and review the work of multiple development functions, consultants, technicians and others and be accountable for execution on complex, multi-disciplinary projects in the Central U.S. region (focusing on ERCOT, MISO, and SPP market areas) with remote, distributed teams.
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Key responsibilities for the Director, UX Engineering include:Lead the development, deployment, and maintenance of full-stack, data-driven, cloud applications that serve our scientific community.
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google cloud jobs in Boston, MA
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