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services across on-premises, public, and hybrid cloud environments. This includes integrating security controls into CI/CD pipelines, leveraging Infrastructure-as-Code (IaC), and orchestrating workflows
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Clouds, in particular the frozen phase, bring about the largest challenge and uncertainties
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experience in data architecture, enterprise data modeling, or data engineering. Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures. Experience
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 3 months ago
Infrastructure? No Offer Description The project focuses on the transition to 5G-Advanced and 6G networks, exploring innovative solutions based on cloud-native technologies and the latest platforms available
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building cloud-native data pipelines or enterprise data platforms. 3-5+ years of direct Snowflake development experience. Demonstrated ability to modernize legacy data structures and migrate workloads
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, privacy-preserving ana-lytics Experience with cloud platforms or HPC environments Knowledge of regulatory and ethical considerations in AI Additional Information Benefits Monthly Salary (Gross): from EUR
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practices Familiarity with data formats and integration standards (e.g. JSON, XML, REST) Experience working in cloud environments (e.g. AWS, Azure, or similar) The following would be advantageous: Experience
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field. Skills and Knowledge: The position requires strong writing skills, in addition to experience with the Adobe Creative Cloud, including InDesign, Photoshop, and Premiere, NCAA Live Stats, Stat Crew
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vulnerability management program, covering cloud, on-premises infrastructure, and application environments. The manager is responsible for directing the identification, classification, reporting, and remediation