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Enable curated data foundations through Master Data Management, Data Quality & Lineage, Catalogue, Governance, Data Mesh & Data Virtualization with these technologies: Informatica, Collibra, Stibo, Riversand, Ab Initio, and others.
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This Master Data Management (MDM) position is responsible for the quality of our master data which includes the strategy and tactics necessary to improve the quality for partners across the enterprise.
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Lead the Data Advisory/Dive Council to identify data quality issues and recommend to the Institutional Effectiveness Council institution-wide remedies to assure that high quality data is gathered and available for strategic decision-making.
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The Engineer will be working closely with data scientists, data mining experts, and business partner supporting the design of experiments and analytics, data sampling and mining, verification of data quality and information integrity, and best practices around the development and deployment of predictive/prescriptive models, DevOps operational systems and practices, and data visualization solutions.
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ASQ Certification of Quality Engineer, Six Sigma Black Belt or Lean Certification is a plus. The Supplier Quality Engineer shall provide quality support to production operations, ensuring the integrity of components and products purchased from suppliers meet engineering requirements.
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One of more Technical certification in the following: Cloud Data Architect, Databricks Data Engineering Professional, or other cloud data engineering professional certification. Our diverse product offering includes data acquisition, email appends, integrated marketing services, production workflows, custom print production, direct mail solutions, fulfillment and complete lettershop, bindery and mailing services.
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You will utilize data-driven techniques in building solutions and dashboards to help measure, validate, identify, and envision TikTok's security program. Significant experience with data visualization tools or platforms (e.g. Dashboards, Tableau, etc.
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Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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Details Kemper is seeking a SAS Administrator/Engineer for our Data Science Services team. Maintain user provisioning in SAS Management ConsoleCollaborate with the network, security, and server administration teams to implement Kemper data and security standards, including but not limited to firewall rules modification, server whitelisting, data masking, and row level security.
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Expertise in data architecture and data integration, particularly in the context of geographically distributed ETRM systems for various commodities. Develop an architecture and solution for client’s ETRM requirements and to import data from geographically distributed systems for multiple commodities.
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Ensure data quality by implementing best practices. A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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As a Sr. Technical Curriculum Developer at Databricks, you will apply your expertise in data engineering and curriculum development to lead the design, development, and maintenance of the data engineering curriculum.
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This role will be responsible for maintaining data quality, formatting, reviewing, centralizing, and organizing product content and digital assets in the PIM platform selected. Proficiency in utilizing PIM systems and related technologies, such as master data management (MDM), data integration, and data transformation.
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Data Governance: Establish and maintain data governance frameworks and practices to ensure the quality, integrity, and security of organizational data. The Manager of IT GRC will be responsible for overseeing cyber security, data governance, and IT controls audit topics, among other areas.
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Technical Environment: Python, SQL, R, PL/SQL, Java, XML, MySQL, PostgreSQL, statistical analysis, prediction analysis, data modeling and data mining techniques, Business Intelligence tools, Microsoft Excel, Time series Analysis, Statistics, Data visualization, shell scripting, automation scripting, designing and developing algorithms, ETL (extract, transform and load) tasks.
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data quality jobs Title: developer Company: Capgemini Holding in Maywood, IL
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