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Must have experience using various Geospatial tools such as Arc GIS, Excel, SPSS, SAS, MatLab, R, or other statistical packages, to analyze and visualize operational data; visualize data both temporally and spatially to assist in data integrity checks, prepare analysis, develop next level queries, prepare presentations materials, and display analytical assessments for senior leadership.
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Interpret soil, bedrock and groundwater elevation and quality data. Job DescriptionThis position is for an experience Environmental Engineer to lead/manage a group of engineers and scientists at various levels of experience, be responsible for business development and growth, and management of complex environmental remediation projects in the Tampa Bay Area. Evaluate and interpret subsurface field and sampling data including soil and groundwater to develop conclusions concerning the environmental and geologic site conditions.
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We are seeking an experienced Data Analytics Practice Director to enhance our client data advisory services, focusing on serving mid-market clients in multiple industries through the utilization of advanced data analytics tools and techniques.
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In this vital role you will be a part of the software/data engineering team developing data pipelines, web UI, conversational AI (chatbot), and Generative AI solutions to support Amgen's global commercial operations.
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Advising clients on how to integrate the Six Security Domains: Infrastructure Security, Data & Application Security, Intelligence & Analytics, Threat & Vulnerability Management, Identity and Access Management, and Program Strategy & Operations - throughout their application and data center infrastructures, as well as into their business processes.
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UF Information Technology comprises eight departments reporting to the Vice President and Chief Information Officer: Academic Technology; Applications, Development, and Integrations; Business Center; Customer Experience and Resource Planning; Data Platform and Analytics; Information Security Office; Infrastructure and Communication Technology; and Research Computing.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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Empower Results: Leaders at DTCC are Results-Oriented, delivering timely, high quality, customer-focused results, while mitigating risk. We are uniquely positioned at the center of global trading activity, processing over 100 million financial transactions every day, pioneering industry-wide, post-trade solutions and maintaining multiple data and operating centers worldwide.
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The Health Quality and Stars team centralizes quality improvement and governance processes targeting Humana's Medicare Advantage members, and also manages compliant data submissions to CMS in adherence with the Stars Rating Program.
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Strong understanding of healthcare quality measures, including NCQA HEDIS measures, measures derived from EHR and other standardized datasets, administrative data, and public health databases.
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As part of our Data Governance, Quality and Operations team, you’ll focus on using advanced frameworks, data integration and machine learning tools to deliver scalable data operations while establishing trust and integrity in data at the point of use.
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Serve as the project manager for client engagements, ensuring delivery of high-quality services on time and within budget. Support business development in Climate Solutions, Coastal Resilience, Ecosystem Restoration, Energy Transition, Smart Cities, Sustainability and International Development by telling the economic story of projects such as groundwater remediation, wetlands restoration, water quality regulations, carbon offsets, and air quality regulations.
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Proficiency with enterprise integration tools, middleware technologies, iPass, application and data integration patterns including ESB, MOM, JMS, SOAP/REST web services, databases, ETL, and EDI.
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Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle. Analyze data to ensure it meets specific data management, data governance, and data quality assurance requirements before processing the data within the Data Lake and data warehouse.
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data quality jobs Title: quality manager in Tampa, FL
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