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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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As AVP of Asset Data Quality, you will lead critical aspects of operations for data quality/ data governance and vision, by promoting and implementing all aspects of data quality including the implementation of the Business Glossary and Metadata Management for the Asset data within the organization.
$110,000 - $209,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Must possess the ability to Input & Analyze Data, identify trends & communicate to Metrology Engineer and Quality Manager. Bocar US, Inc. is a high-end technology and quality-driven automotive company which produce high-pressure aluminum die casting, and machining for companies such as Daimler, Ford, and Toyota.
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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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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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The 2nd Shift CMM Programmer/Quality Inspector is responsible for the programming and operation of Coordinate Measuring Machines (CMM) using PC-DMIS software as well as inspection of complex tight tolerance Aerospace manufactured parts.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains. Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices.
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Data Strategy and Governance. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.
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Identify data governance gaps and assess data governance maturity in a complex data environment. Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals.
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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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The Data Strategy Senior Manager will use Accenture diagnostics and strategy methods, own and ensure delivery of high-quality analysis and recommendations to clients. Experience in defining enterprise data strategy in one or more of the following areas such as: cloud data migration, data management, data governance, data supply chain, data security, data archival, data quality, master data management and/or data architecture for medium to large scale corporations.
$141,800 - $269,100 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Qualifications:Minimum of 2 years of experience working as a Quality Engineer, Product Engineer, Process Engineer, Manufacturing Engineer, or Industrial Engineer and a Bachelor’s Degree in Engineering, Science, Math, or Statistics, or an equivalent combination of education and experience.
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While traditional aspects of data governance and some experience in Master Data Management (MDM) remain vital, the primary emphasis will be on the modern elements of data governance such as data quality, data observability, data lineage, data catalog, and business glossary.
$130,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Maintains accuracy in abstraction by following published guidelines and abstraction specifications; maintain accuracy and integrity of audit information by following standards and guidelines; facilitates and participates in quality assurance audits of abstracted/audited data to ensure a high level of inter-rater reliability among the clinical data abstractor team and achievement of acceptable validation results from external audits.
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data quality jobs Title: data manager Company: Ntt Data
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