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Lead Data Engineers work in collaboration with other Data stakeholders and contribute to strengthening the links between data quality and data catalogs, data lineage, DataOps pipelines, etc., focusing on increasing the adoption of reliable data products built by the data engineering team.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
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Drives the adoption of best practices in data management, including master data management, standards and definitions, and data quality processes. As a member of the BDOADVANTAGE Data Management team, the Experienced Manager will play a key role in driving the quality of our Assurance data used by many stakeholders for critical business analysis and decision-making and as a foundational element for predictive analytics and artificial intelligence.
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Very Good understanding in Data Foundation initiatives, like Data Modeling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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GPI has embarked on an enterprise-wide multi-year journey to transform data quality, business processes and enabling technology to support the growth strategy of the organization. Proactively works with Master Data Process Domain Leads and other team members utilizing innovative and resourceful tactics to harmonize and streamline master data quality processes and controls across multiple domains.
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The candidate needs to have proven experience in defining and implementing a roadmap for data lifecycle management, including Data Governance, Master Data Management, Data Migration and Data Quality.
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Calibration of dose meters (including dosimetric inter-comparisons for QA) and radiation equipment (accelerator monitor unit calibration) Beam data acquisition for treatment planning. Works at the clinic site in collaboration with the Cancer Care Leadership to ensure high quality and safe interpretation, delivery, operation, and monitoring of radiation safety policies, procedures, standards, and equipment for Radiation Oncology Services.
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This role will be part of a cross- functional team for data governance spanning metadata management, regulatory compliance, data quality, and data security initiatives to help implement governance processes across our data ecosystem and drive customer centric privacy solutions across our products.
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Who We Are As a Koch company and a leading manufacturer of bath tissue, paper towels, paper-based packaging, cellulose, specialty fibers, building products and much more, Georgia-Pacific works to meet evolving needs of customers worldwide with quality products.
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Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption. Experience with transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks such as dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.
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Develops Data quality checks to build reliability into the data pipeline, typically leveraging existing patterns as available for specific project with scalability in mind. Owns and is accountable for overall data quality assurance process and any relevant documentation.
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Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance.
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The project is part of a quality improvement effort that centers on health education (including the development of innovative educational media) and data integration between Epic EMR and existing registries and databases to improve patient outcomes for sickle cell disease.
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Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data. This role demands someone who not only possesses a profound understanding of the data engineering landscape but also has a very strong software engineering background specially building microservices frameworks and architectures.
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data quality jobs in Atlanta, Chalmette, Louisiana
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