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Develop and coordinate ongoing MDM Patient, Consent, Customer, Payer, Product Master data governance, data quality and operations. Ability of applying AI/ML based solutions to improve data quality, match/merge logic and stewardship processes.
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Complete other projects and tasks as assigned by Vice President of Research and Development, Senior Quality Manager or Quality Compliance Specialist/SQF Practitioner. Maintain Customer COA requirements through Tech Data sheets in X3.
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Performs and water quality sampling data entry and QA/QC functions, as per the City of Winston-Salem NPDES (National Pollutant Discharge Elimination System) permit requirements. Completes onsite impervious surface areas with Trimble GPS equipment and analyze data using ArcGIS for stormwater utility billing calculations; designs and creates maps in ArcGIS to display pertinent stormwater related information for internal and external customers and produces stormwater data reports as needed for various internal and external customers; creates and collects stormwater GIS data within ArcGIS and in the field to keep stormwater department data current.
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As the Data Quality Manager, you will be responsible for developing and implementing procedures to identify, monitor, and resolve data quality issues across the data ecosystem.
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Use your data and analytics experience to ‘see what’s missing,’ identifying and addressing data gaps, build monitors to detect data quality issues and partner to establish a self-serve environment.
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HiLabs was born in the halls of Yale University when a cardiologist and an AI expert teamed up to tackle the data quality issue in the US healthcare system. Big Data Skills (Hadoop, Spark, recent deep learning platforms.
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Our client is looking for a Lead Data SDET that has a data engineering background mixed in with Quality assurance. We are supporting a Senior Director in the Quality Assurance space, who is looking for a talented, Senior Data SDET.
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Demonstrated success with domestic and international consulting, permitting, licensing, and environmental quality review processes for a wide range of infrastructure projects in sectors such as power generation, process industries, water/wastewater treatment, telecommunications, data centers, and industrial manufacturing.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Expertise in processes / procedures for missing data analysis, data quality, master data management and good preparation practices for modeling. Considerations include variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream.
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This entails designing and implementing a sophisticated data governance framework spanning across capabilities and tools such as data quality checks, defining/tracking KPI’s, data lineage and data structure and organization (e.g. organized data hierarchies, well-maintained data dictionary and report catalogue, as well as data and report certification.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis.
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Implement data lineage capability to understand data movement across the enterprise Implement data governance and standards including data definitions, data quality rules, data lineage, business glossary functions Support domain owners and data stewards to analyze quality issue root causes and remediation efforts.
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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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data quality jobs Title: data specialist Company: Wells Fargo
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