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Engineer-Leak Detection- Denver, CO.Salary Range: $165,000.00 To 190,000.00 Annually- Full benefits offeredPrimary purpose:As a member of the Operations Control & Systems Engineering team, this position is responsible for technically evaluating leak sensitivity of liquid pipelines and enhancing the performance of multiple leak detection applications based on operating conditions, properties of the fluid and pipe, installed instrumentation, and real-time data collection.
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The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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Collaborating with cross-functional teams, including Finance, the Office of the Chief Data Officer, the Office of the General Counsel, Business Services Technology, Network Information Security, Internal Audit, and other firm functions to gather relevant data and establish data integrity for analysis.
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Work with data engineering team on data tracking, integrity, and security as needed. Working with a brilliant team of product managers, product designers, software engineers, and key business leaders, you will leverage data and insights to drive growth and retention for one of our emerging product groups (car repair marketplace or chatbot.
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Coordinates efforts with the Asset Administrator and GIS Analyst to create the combined GIS and AMS. Utilizes best practices to determine format, research data conversions, establish data specifications, update sources, and ensure data integrity; creates thematic maps for routine and unique requests in web based and paper formats.
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Deep understanding of concepts related to data management, data security, data integrity, data governance, interoperability; knowledge of scalable data pipelines and application of ETL and ELT concepts.
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Coordinates efforts of traders, portfolio managers and the quantitative team to ensure integrity and accuracy of data underlying various analytic systems (e.g., Bloomberg and BlackRock), databases and investment reports.
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Collaborate with Finance and IT teams to ensure data integrity, security, and compliance for Finance systems and applications. Leverage Finance data and analytics to provide insights for Finance decision-making and workforce planning.
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Proficiency with data visualization tools such as Tableau or Power BI. At Summit Materials, we support our teammates who lay the groundwork for our communities and live by our core values: Safety, Integrity, Sustainability, and Inclusivity.
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Interpret aerial photography and ensure integrity of GIS data: review existing and incoming data for currency, accuracy, usefulness, quality, and completeness. Act as a Subject Matter Expert (SME) on geographic information systems, mapping, and associated data.
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This role will provide direct management of IT operations, security, data integrity/availability, cloud computing, IT helpdesk, end-user support, network/unified communications, and MSP vendor management.
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Supports the monitoring of data integrity and model risk controls execution. Utilizes data and information to aid in risk-based decision-making. Determines business rules for preparing data to be consumed in both formal and informal processes.
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Model our leadership behaviors and Ipsos Values (Integrity, Curiosity, Collaboration, Entrepreneurial Spirit, Client First), to develop our next generation of leaders with continuous coaching and development to ensure continuity in succession plans for critical roles.
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Manage HR data proficiency including data entry, data clean-up and ensuring data integrity to meet quality control procedures and performance metrics. Manage HR data proficiency including data entry, data clean-up and ensuring data integrity to meet quality control procedures and performance metrics.
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Ability to work closely with data engineering, ensuring data pipeline integrity and understanding the semantics of existing tables in an AWS data lake. Expert-level proficiency in big data SQL dialects like Hive, Presto, or similar, encompassing window functions, table creation, CTEs, and advanced joins.
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data integrity jobs in Denver, CO
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