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In this role, you will be a member of SiriusXM’s Data Quality (DQ) Team within the larger Data Organization, and will be responsible for designing, developing and supporting data quality tools, applications and data marts for use by the DQ Team and other groups.
$126,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Administration of Informatica Data Governance and Marketplace Portal (Axon), Enterprise Data Catalog (EDC), Informatica Data Quality (IDQ), and Master Data Management (MDM.
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As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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The ideal candidate brings technical skills in data quality and analysis, has strong attention to detail, is curious about the ‘why’s behind data, and is inspired by the opportunity to collaborate with a range of stakeholders – from small, private firms in emerging markets around the globe to USAID staff to the internal MSP program team – to enhance greater effectiveness and impact from international economic development initiatives.
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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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As a Data Operations Specialist, you will work with a team of consultants, engineers, and analysts to identify the business requirements to migrate CFPB's data to the cloud while continuously improving data quality, security and integrity.
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
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2+ years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. Help define data quality metrics associated with the quality of data ingested into Collibra.
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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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3+ years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
$82,500 - $123,700 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Organizes SEVIS data processing under DHS guidelines and maintains data quality control management. Runs weekly reports, creates graphics and does data analysis as it relates to international student trends.
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Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas. Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
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The Quality Improvement Specialist supports the quality improvement (QI) activities of the Medical Faculty Associates practices by analyzing and providing data for quality projects and other QI processes.
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Minimum of 2 years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. CDMP or Collibra) from an industry recognized standards organization demonstrating knowledge of metadata management, data governance, and data cataloging.
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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 Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
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data quality jobs Title: data specialist Company: Capital One in Washington, DC
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