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Bachelor's Degree required with a background in computer science or related software engineering experience and one full year of hands-on internship experience in software development and/or QA automation testing with coding experience.
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Minimum of 2 years of hands on Workday Financials experience. From rapid deployments to entire transformations, you’ll deliver integrated, payroll, cloud-based HR and financial management solutions that put organizations on the fast track to a better way to work.
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We are seeking an Oracle Cloud Financials Lead (functional, hands-on) who led ERP teams through multiple full-cycle implementations with Public Sector customers. Cloud/e-Business Suite(EBS): 5-10 years/solid across General Ledger, Payables, Receivables, Assets, and Cash Management.
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Proficiency in Python, with hands-on experience using machine learning libraries and frameworks such as Pytorch or Tensorflow Mastery of defining an engineering team’s vision and roadmap Strong ability to prioritize and communicate with technical and non-technical audiences alike.
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Hands-on experience working with any of the public Cloud providers (GCP, Azure, AWS) This position is within the core product development team for Software defined cloud storage solutions, the Engineer will work on both GKE and AKS platforms in partnership with Google and Microsoft.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Similar Jobs (10) Manager, Data Science, Model Risk Office locations 2 Locations time type Full time posted on Posted 30+ Days Ago Manager, Data Science - NLP locations 4 Locations time type Full time posted on Posted 30+ Days Ago Manager, Data Science - Fraud, Deep Learning locations 4 Locations time type Full time posted on Posted 30+ Days Ago.
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Hands-on experience with modern front-end technologies such as React, Angular, Typescript, etc. or alternatively hands-on experience with back-end API development using Java or Node based frameworks.
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You will need hands-on experience with DevOps tools and technologies such as Jenkins, Octopus, Docker, Kubernetes, and Git. Experience with cloud-based infrastructure and services, preferably Azure is essential.
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Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. New York City (Hybrid On-Site): $197,400 - $225,300 for Mgr, Data ScienceCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Hands-on experience working with Elastic Search, Mongo DB, Docker, Kubernetes, Rabbit MQ, and NiFi. The ideal candidate is a hands-on developer with significant experience in developing scalable data platforms, with experience in business intelligence, analytics, data science, and data products.
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We are seeking a hands-on Expert Cloud Network Engineer who is capable of maintaining and growing our network infrastructure, troubleshooting and building AWS and Azure networks that integrate with our transit network, and building and maintaining various forms of VPNs. We are a DevOps-driven network team, and utilize CICD pipelines, DevOps methodology, and DevOps tooling to build and maintain modern public cloud networks.
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As a Senior Network Security Engineer, you will provide leadership and hands-on expertise for a diverse set of network security projects including but not limited to Cloud, Firewall, WAF and Web proxies.
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JOB DESCRIPTION As a Software Engineer III - Platform Engineer at JPMorgan Chase within the platform team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers.
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POSITION SUMMARYSenior Development Engineer II - Backend role is a highly visible and hands-on software engineering position that plays a crucial role in shaping CVS Health's digital strategy for its customers.
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We offer unique opportunities for smart, hands-on folks to grow OCI business by using data to solve difficult problems across distributed highly available services and virtualized infrastructure.
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