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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Strong Networking Fundamentals along with Converged Infra (CI)/Hyper Converged Infa (HCI) Management Certification along with hands-on experience with Amazon Kubernetes Service (AKS), Amazon EKS, Google Kubernetes Engine (GKE), Rancher.
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5 years of experience with data science and analytics technologies such as Python, SQL, Tableau, Alteryx, AWS Redshift and Lambda, and/or Google Cloud Platform. 5 years of experience with data science and analytics technologies such as Python, SQL, Tableau, Alteryx, AWS Redshift and Lambda, and/or Google Cloud Platform.
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Cloud Security domain knowledge helpful, including AWS, Azure, Google, IBM, Chef, Puppet. The company brings together identity governance (IGA), granular application access, cloud security, and privileged access (PAM) to secure the entire business ecosystem and provide a frictionless user experience.
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Experience with big data technologies which may include Hadoop, Cloud Computing Environments (including container creation, management & deployment), Spark, etc. Experience with statistical programming (SAS, R, Python, SQL etc.
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From the smartphones in our pockets that access the world’s collective knowledge, to the cloud-based services where all that information lives, to high-speed wireless communication and computing power needed to drive artificial intelligence, augmented and virtual reality, gaming and so much more, our technology is all around us.
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We have an immediate need for a contract DevOps AWS Cloud Engineer to join a premier management consulting firm. The DevOps AWS Cloud Engineer will play a crucial role in designing, implementing, and maintaining the infrastructure and deployment pipelines on the AWS cloud platform.
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Salesforce (Marketing Cloud, Sales Cloud, CDP) Experience with SQL and querying databases (Google BigQuery, Snowflake) to extract required data for analysis. SAP, Google Big Query, Amazon Web Services, and Data Lakes.
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Experience in DataOps, Internet of Things (IoT), Data and AI cloud solutions, Azure data factory, data lakes, databricks, synapse, and cloud-based data repositories etc. Experience with cloud-based data repositories such as Snowflake, AWS Redshift, AWS S3, Azure Data Lake, and Azure Synapse.
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The successful candidate will have extensive (typically 10 years) of technical experience, along with a record of success in leading and facilitating technology transformations to cloud services such as Azure, AWS, and GCP. This person should also have proven experience working in an Agile Scrum environment with data engineering solutions like Snowflake, Databricks, and modern database solutions for cloud environments.
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Candidates will join the multidisciplinary and multidepartment Masonic Institute for the Developing Brain with on-site expertise spanning developmental and clinical neuroscience, bioinformatics, and data analytics and have access to the broader University of Minnesota neuroimaging, high performance computing, and mental health research communities.
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Experience working in AWS and/or Google Cloud Platform environments. Proficient in analyzing data across various platforms with multiple tools like Microsoft SQL Server, BigQuery, Excel, Google Sheets, MongoDB, etc.
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Development experience with one or more Public Cloud platforms – Azure, AWS, Google Cloud. Collaborate with UI/UX design and developers to integrate with public cloud resources.
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