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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Extensive experience in data warehousing, data management, and business intelligence with proven expertise in Google Cloud Platform (GCP) and its data services (Big Query, Cloud Storage, Dataflow, etc.
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To achieve this, we are partnering with other Data and Analytics (DnA) teams, Technology, and our business and functional partners to build and deploy the next generation data capabilities for MetLife.
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The IT Financial Systems team within Technology Services is responsible for supporting the School Business Division, Financial Services Division and Teacher Licensure section at DPI. Team members are responsible for support and development of financial applications and reporting data present in those systems, vendor relations with PSU's financial vendors and DPI Licensure System support.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance.
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They will deliver and sustain the enterprise management strategy and solutions from a governance, process, discipline and technology standpoint, to support enterprise environments and our presence in various cloud instances and on-premises data centers covering threats / Incident Response / vulnerability management using CNAPP, CSPM, CWPP solutions.
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Experience with any of the following is a plus: Quantum, Swift, Aladdin, Clearwater, Chatham Financials, Pinnacle, QRM.Data Analysis - Sources, compiles, and interprets data. Experience working with data management projects having experience in data analysis, data governance, data quality and lineage.
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Implement data governance processes for item master data maintenance. Support migration of data - item master data - from legacy systems to new systems. Maintain item data integrity, quality control and governance of items in appropriate systems and tools.
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Provide guidance with collecting, compiling, and analyzing data from the physical work site, surveys, as-built drawings, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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The IA will be familiar with designated law enforcement technology systems and other local, state or federal databases as well as be familiar with compiling data utilizing acceptable criminal intelligence analysis techniques.
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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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This position will be responsible for analyzing and communicating hydrologic and geologic data to provide insight into critical groundwater flow and contaminant transport processes as they relate to mine water management.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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Join us, and you’ll get all the benefits of being a part of a global, publicly traded firm – access to industry-leading technology and thinking and transformational work with big impact and work flexibility.
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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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big data jobs Title: technology Company: Feed in Raleigh, NC
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