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General understanding implementing Microsoft Fabric Capacities and Copilot for Power BI and Data Engineering. Automation and orchestration experience with Visual Studio/VS Code, Azure Data Studio, Git, Azure DevOps, Ansible, Bicep, or Terraform is a plus.
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CBRE is looking for a Data Center Hydraulic Modeler to support the client’s data center construction program within the Execution Engineering (ExE) team as a hydraulic modeler! Capture and validate data for model input, including topography, pipe networks, pump curves, valve and heat exchanger curves, and operational parameters.
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The successful candidate will work under the supervision of Dr. Lorrayne Miralha, Assistant Professor of Watershed Modeling and Data Analytics, Department of Food, Agricultural, and Biological Engineering and Dr. Asmita Murumkar, Assistant Professor -Ecosystem Services Field Specialist of Extension – Agricultural and Natural Resources at The Ohio State University.
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RESPONSIBILITIES Positions require a Masters degree in Industrial, Manufacturing or Systems Engineering, or related field and 4 years of experience as Manufacturing or Current Product Reliability Engineer, Data Scientist, or related position.
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Overview We are seeking a Post-Doctoral Scientist - This position is in the Department of Pediatric Neurosurgery Research Team. This position offers an exciting opportunity to work on cutting-edge neuroscience research, particularly focusing on brain imaging and electrophysiological data analysis related to epilepsy and other neurological disorders.
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Role description:The Senior Water & Hydraulic Engineer will utilize their professional experience and technical knowledge of hydraulics, collection system planning, and computer modeling, combined with data analytics as part of our local project teams developing innovative solutions throughout the region.
$146,400 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The TS4 will design and implement Agency data engineering solutions to include data platform selection and recommendations, data modeling and enterprise data architecture development.
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Expertise in multiple Infrastructure technologies below: Data centers – Cisco (ACI) or VXLAN with Cisco and or Arista Server load balancing with F5 – local or global traffic management Firewalls -Fortinet Presenting metrics and accomplishments using data analytics Network management and tooling – SevOne, Splunk, Cisco Nexus Dashboard, and or DNA (Digital Network Architecture), SNMP (Simple Network Management Protocol) Able to read and explain TCP/IP traces.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
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The Lead IT Systems Analyst, although a Test Automation specialist, should also have a demonstrated ability to learn and stay current with adjacent software engineering tools and capabilities – examples include but are not limited to: CI/CD pipelines, test data management, cybersecurity, and cloud computing.
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Job DescriptionTurner & Townsend is seeking an experienced Cost Manager / Quantity Surveyor to provide cost control and estimating services on our key technology client’s large-scale data center construction program.
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Support the wider program from a data engineering perspective, working with Architects and subject model experts to model the data landscape and enable secure data exchange and pipelines for analytics and predictive models.
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Customizing and implementing Microsoft Dynamics 365, migrating data from external systems, conducting and supporting solution testing, assisting with functional, system and user acceptance testing, and conducting and supporting user and administrator training.
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Solid understanding of insurance (P&C) domain and analytics concepts (basics of data science, data engineering & business intelligence) Experience managing & working on projects related to data engineering, Data Science (DS), & business insights.
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Extensive knowledge in AI, Machine Learning, Machine Learning Ops, Data Engineering, and/or Data Science. Background in Data Engineering or Data Science. Our services include digital strategy consulting, product development, brand and experience design, digital marketing, and data and AI services.
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engineering data jobs in Columbus, Anoka, Minnesota
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