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Data Engineer Senior - Enterprise Data Management - Analytics Competency Center - Data Engineering. Experience developing, engineering and supporting big data pipelines using big data technologies.
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With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it.
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Liaise with product teams, cloud and infrastructure teams to assist with quality assurance, program logic, and data processing. Knowledge of applicable data privacy and regulated utility practices and laws.
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Analyze survey reports, maps, drawings, blueprints, aerial photography, or other topographical or geologic data. KNOWLEDGE, SKILLS and ABILITIES: · Ability to make public presentations · Ability to define problems, collect data, establish facts and draw conclusions to present to design team members.
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Experience with data analysis software, MS Excel, Minitab would be a plus. Analyze qualification test data to ensure products meet performance and reliability standards. Ability to analyze test data and ensure product performance and reliability standards are met.
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Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Application Design, Architecture, Business Intelligence, Data Architecture, Data Governance, Data Mining, Emerging Technologies, Informatics/Information Sciences, IT Standards, Procedures & Policies, Modeling: Data, Process, Events, Objects, Root Cause Analysis (RCA.
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Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. Serves as primary point of contact and liaison between Software Engineering and other teams.
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Provides guidance to the Software Engineering team and other departments in identifying product and technical requirements. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
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The Engineering Data Industrialization Development Engineer will be responsible for enabling rapid prototyping of initiatives for the Power Systems NAM cluster. Experience with data modeling, machine learning, and statistical analysis techniques.
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As we place ever more trust in software and data security in our increasingly connected world, Canonical's mission to deliver the world's best open source platform comes with a responsibility: to set the highest possible standard for software security, not only for the OS, but also for the wide range of open source infrastructure and software that developers enjoy within the Ubuntu ecosystem.
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The EPC Senior Functional Planning Manager will serve as an expertise on Project Controls planning methods, procedures, systems and development of historical data. Work process optimization and updating of procedures, automation of work processes and data integration, knowledge management.
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Familiarity with data mining, data engineering, statistical tools, and development in Python, R, SAS, SQL, Java/C#, or similar. A bachelor’s degree or MS degree in Engineering, Advanced Data Analytics, or a related technical or scientific field.
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10+ years of backend software or data engineering experience with at least 4 years’ experience as lead data engineer of a development scrum team. Team Mentorship: Influencing multiple data engineering teams, mentoring managers, and setting team objectives.
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Travels to client locations and inventories all electricity and natural gas-consuming equipment name plate data for input into the predominant use study. Assists Manager in data collection, input, and analysis along with the tax recovery process.
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data job Title: engineering in Allison Park, PA
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