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Develop and maintain QA data reports, dashboards, and visualizations to monitor key performance indicators and quality metrics using Tableau. Experience with QA processes, software testing, and quality management systems.
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You will personally prototype the solution development for these projects and work with product owners, data/software engineers, and other partners for productionization and client delivery.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Knowledge of Actimize data model and critical data elements (CDEs), coupled with hands-on experience in data mapping and extract, transform, load (ETL) activities for aligning an organization's data with vendor data models.
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The Field Museum’s Keller Science Action Center translates museum science and expertise into demonstrable results for conservation and quality of life. Demonstrated commitment to integrating biological and social aspects of conservation with advanced technologies for research and decision-making (for example eDNA, remote data collection, GIS, database systems), as well as experience in the interface between research and conservation action.
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The Vendor and Customer Master Data Analyst will support the business team’s data quality needs to facilitate each business group’s transition from implementation phase to business operations.
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77 West Wacker Dr (35012), United States of America, Chicago, IllinoisLead Data Engineer (Python, Spark, AWS) As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Data Loss Prevention (DLP) and Cloud Access Security Broker (CASB) (e.g., Microsoft, Netskope, Proofpoint, Zscaler) Data Security Posture Management (DSPM) tools (e.g., Symmetry, Flow, Polar, Laminar.
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Demonstrated competence in the areas of Master Data Management, Data Modeling, Data Quality, Data Governance. Enhance current Data Quality framework to be more comprehensive and scalable; using Alteryx, SQL, PowerBI.
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Senior Software Engineer, US Risk Technology page is loaded. We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Bachelor's degree in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities.
$115,850 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Integrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality. Proficiency in Profisee MDM Integration, Change Data Capture implementation, and data quality and governance with Azure Purview.
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The ideal candidate will have a strong background in metadata management, data modeling, data governance, ETL, data warehousing, and a deep understanding of tools such as DBT, Snowflake, Boomi, Fivetran, and Tableau.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Overall 15+ years in data analytics consulting and at least 10+ Senior Architect role within a consulting firm with a focus on data analytics, advanced analytics, Cloud. 5-7+ years in designing, solutioning the Azure Databricks, PySpark, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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data quality jobs Title: senior software engineer in Chicago, IL
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