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: 87289BR The Oracle Reporting Analyst is responsible for designing, developing, and maintaining reports and dashboards across Oracle Cloud ERP (and related systems) to support business decision-making
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Intelligent Cloud Services (IICS) iPaaS (integration Platform as a Service) platform, and programs and services implemented on other platforms, as needed; Responsible for researching and resolving production
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and managing cloud infrastructure using Terraform, Argo CD, OpenShift, and similar tools to ensure scalable and secure deployments. The position will also contribute to CI/CD pipeline development and
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order on complex, loosely defined situations.; Working knowledge of ERP platforms (Workday, PeopleSoft, Banner, or SAP), cloud/SaaS architecture, and system integration concepts.; Proficiency in project
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direction of the Director of Research Computing and Data Services, and in close collaboration with LRS research enablement staff. You will partner with Harvard’s cloud vendors, the HKS research community, HKS
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the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees
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or NoSQL) Exposure to AWS services (EC2, S3, or similar cloud platforms) Candidates should include URLs and/or web portfolio and GitHub, along with a cover letter and resume. This is a grant-funded position
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technical background, encompassing expertise in artificial intelligence, data architecture, cloud platforms, and enterprise systems integration. Equally important is a high degree of political acumen and the
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. Infrastructure: Experience automating testbeds on-prem and in Cloud environments (AWS/Azure/GCP). Orchestration: Familiarity with containerization (Docker/Kubernetes) Performance Test Tools: Strong background in
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transcriptomics. Experience with Neuro Degeneration biomarker datasets (PET, MRI, immunoassays, ADNI). Prior experience working in collaborative, fast-paced research environments. Familiarity with cloud computing