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enterprise applications/systems, cloud platforms,and third-partyapplications. Developand oversee dataconversion and migration strategies, including ETL processes, datamapping,and validation to ensure
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), this role will provide functional and technical expertise for data and reporting within modern cloud-based ERP systems and will establish the ERP reporting strategy, define requirements, and successfully
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may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud
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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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enterprise applications/systems, cloud platforms,and third-partyapplications. Developand oversee dataconversion and migration strategies, including ETL processes, datamapping,and validation to ensure
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performance of mission-critical infrastructure, including server environments, networks, workstations, and cloud solutions. Develop and maintain disaster recovery and business continuity plans for all critical
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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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academic departments across the University. Ensures accurate updates to budgets in EPM, the Oracle cloud service used for operating budget planning at Princeton. Monitors budgets and actuals in EPM