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Implement a data quality initiative to ensure quality and accuracy of regulatory reporting data. The successful candidate will be responsible for implementing a data quality initiative to ensure the quality and accuracy of regulatory reporting data.
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Implement and deliver high quality DevOps solutions for our new state of the art AI model deployment and execution platform using technologies like Gitlab, ADO, Terraform to deliver services such as Databricks, Kubernetes, Postgres, Azure Data Factory, Azure Cognitive Search.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Use data science methods, including but not limited to Artificial Intelligence/Machine Learning (AI/ML) approaches, to perform data processing (e.g. filtering), feature recognition, alarm threshold determination, pattern matching, statistical trending, scoring of detection quality, and integration of other information into decision making.
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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Responsible to build strategic and technical capabilities to enable an end-to-end data governance, data quality, and master data management strategies, including solutions for integrating the data governance and MDM solutions with all consumers & consuming functions/platforms.
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Supports director in the responsibility of data quality relative to program evaluation and policy compliance on a range of single or multiyear contracts with various entities (DOHMH, DHS, HRA, HUD, VA, CARF, etc.
$70,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Consolidated experience supporting pharmaceutical content management solutions and integration (Authoring, Submissions, Archival, TMF, Quality, DAM, PLM) Experience working with GenAI, Artificial Intelligence/Machine Learning, High Performance Computing, and Advanced Analytics on disparate data sets.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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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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Familiarity with data governance practices, data quality frameworks, and data security principles. A day in the life of a Data Engineer states with building and delivering high quality data architectures and pipelines that support clients, business analysts, and data scientists.
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The Data Steward leads complex, cross-organizational conversations – including risk assessment, data quality auditing, issue management, and knowledge management – to ensure Medicare & Medicaid data is fit for organization use.
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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As a member of this team, the Lead Data Integration Engineer will be responsible for DTCC’s data integration and management activities using the Informatica Data Quality & Data Integration Hub and supporting other technologies such as Talend tool suite.
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Reporting to the Vice President, Government Contract Compliance and Data Strategy, the Director, Quality Assurance and Improvement supports the organization by conducting compliance audits to assist making assessments for process improvements, contract scoring, and compliance.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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data quality jobs Title: data specialist Company: Saic in New York, NY
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