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Job Description Summary The Cloud Data Engineer supports the design, implementation, and maintenance of data pipelines, and predictive analytics workflows within Bentley’s cloud data ecosystem
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, enables collaboration, and drives evidence-based decision making. You will work in close collaboration with global technology leaders in cloud storage, data analytics, and security, ensuring Exeter’s
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., virtualization, containerization, cloud computing, disaster recovery). Ability to design, evaluate and document processes. Understanding of and experience with Enterprise Security Architecture frameworks, Software
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channels. This includes overseeing the implementation of the newly installed Marketing Cloud and management of a multi-channel digital communications strategy. The successful candidate will lead a team of
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of experience working in a large-scale information technology environment. Working knowledge using network and system diagnostic tools. Experience securing cloud computing environments. Experience with scripting
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Hamilton HPC system, our experimental Mosaic research cloud, the EPSRC tier-2 HPC system "Bede" and research computing infrastructure in academic departments. Work with teams in Computing and Information
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Missions Fund (TMF), CHEDDAR explores how communications systems can underpin next generation computing and how cloud systems and AI can bolster communications, as well as working in sensing and
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statistical genetics. Familiarity with cloud computing platforms (AWS, Terra, DNAnexus, Google Cloud). Knowledge of genomic databases (dbSNP, gnomAD, GATK, PLINK, Seurat). Ability to work independently and
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knowledgeable in data analytics, internet of things (IoT), and cloud computing to mention a few. MINIMUM QUALIFICATIONS: Must have strong working knowledge of current technologies appropriate to area of
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team's hardware and software needs, including the storage, security and archive for modelling input and output data, cloud computational resources, coordination with IT personnel, and the other