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Degree in engineering or construction management as well as 2 years of on-site Data Center construction scheduling experience is required. Develop and maintain project schedules identifying relationships, logic, milestones and constraints for Data Center construction projects through interactive planning with the project team.
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Support pre-sales activities, including solution demonstrations, proposal development, and client presentations, showcasing expertise in Windchill data migration and AWS cloud integration. Position Overview: The Windchill Data Migration Architect will be responsible for architecting and executing large-scale data migration projects from multiple source systems to Windchill, with a focus on Windchill Bulk Migration (WBM) and AWS cloud infrastructure.
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Configure and customize Informatica MDM Hub, including match and merge rules, data validation rules, and data quality processes. Key Responsibilities: Design, develop, and implement Informatica MDM solutions to manage master data assets across the organization.
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Collaborate with data engineers to integrate Databricks with other data sources, data warehouses, and data lakes. You’ll handle administration, configuration, and optimization to support data analytics, machine learning, and data engineering activities.
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Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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In addition to writing code, you will offer strategic thinking and thought leadership to optimize and scale Marvins data platform and architecture per Marvin business requirements. Multiple years of cloud data warehouse experience supporting a modern data architecture, databases, storage, and data analysis using Snowflake and DBT.
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As SAP Master Data Management Technical Lead, you will be responsible for leading the planning, development and implementation of (MDM) and relevant software solutions that align to the Information Technology roadmap and business strategies.
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Project responsibilities may include water quality sampling, survey, field data collection at wells or project sites, erosion control inspection, construction observation, sampling equipment preparation and monitoring, data reduction, spreadsheet preparation, CADD, assistance with construction plans and specifications, and assistance with report preparation.
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Work with client field engineering team to monitor progress and quality of installation within all phases of construction and/or operational tasks within the data center(s). Technologies include 5G/OnGo, connected buildings, digital workplace, multisite deployments, data centers, and IoT.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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The Veterinary Medical Center is comprised of the Small Animal Hospital for dogs, cats, and other companion animals, the Piper Clinic at the new Leatherdale Equine Center, for horses, and the Large Animal Hospital, which treats farm animals, and occasionally, zoo animals.
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Over the years, Hallie Q. Brown Community Center, Inc. has evolved from an independent human services provider to a multi-service center, and is the administrative body of the Martin Luther King Service Center, which houses our partners offering specialized services and programs., including Project Cheer, Prepare + Prosper, the St. Paul Branch of the NAACP, the African American Leadership Council, and the nationally-recognized Penumbra Theatre Company.
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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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Desirable skills and techniques include 2D and 3D cell culture and bioassays, immunostaining, flow cytometry analysis, and data analytics such as machine learning. Define problems, collect and analyze data, and draw valid conclusions.
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Good working knowledge of various manufacturing processes including injection molding, die casting, machining, extrusions and electro-mechanical assembly, management, and analysis of data. Data analysis including SPC and other statistical methods, understanding of industrial quality control software (minitab and similar.
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data center jobs Title: data scientist Company: Feed in St Paul, MN
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