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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch). Ideal candidates will have experience building software systems and interest in advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem.
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The Systems Architect - Oracle is responsible for supporting the adoption of cloud computing and automation initiatives, with a focus on migrating the Oracle products like OBIEE and Datawarehouse components from an OnPrem environment to Oracle Cloud Infrastructure.
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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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Experience in designing, implementing, and delivering security for cloud native, distributed computing and architectural solutions with a principle of “Secure by Design”. Other Certifications - Certified Cloud Security Professional (CCSP), Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), Certified Information Security Manager (CISM), Certified Cloud Security Knowledge (CCSK.
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Experience with cloud infrastructure technologies with AWS, Azure, and Google Cloud Provider. Expertise with Cloud architecture, infrastructure design, DevOps and automation. Experience managing and supporting POS applications with both client-server architecture and cloud-native architecture.
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Experience with network-attached storage systems (preferably NetApp), Windows Server 2012 or higher, and VMWare ESXi/vCenter management, familiarity with public cloud infrastructure (Amazon Web Services, Google Cloud Platform, Azure) and containers (Docker, Kubnernetes, Singularity), familiarity with graphics processor unit (GPU) usage Cluster Computing and basic knowledge of Deep Learning is preferred.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Experience loading and querying cloud-hosted databases. Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark.
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Job Description: The Director of Emerging Technology Risk within the Technology and Information Risk Management organization at Santander US and Santander Bank NA is responsible for ongoing oversight, assessment, management and reporting of technology and cybersecurity risks associated with the adoption and implementation of Cloud, AI and Digital Assets (e.g. Blockchain, Crypto etc.
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At NYU Langone Health, we leverage both Arista and Cisco systems network routers and switches as well as other network management solutions.
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Experience using cloud-based services and resources (e.g., AWS, Azure, Google cloud) and distributed data and computing tools: Snowflake, Data Bricks, Spark, Map/Reduce, Hadoop, Hive, MySQL, etc.
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Personalize content in Salesforce Marketing Cloud via Content Studio and match content with Journeys to meet desired behavior. The position will be responsible for driving strategic marketing initiatives using the Salesforce Marketing Cloud platform.
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Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform. Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
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cloud computing jobs Company: Datadog in New York, Colonial-heights, Virginia
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