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Senior Quality Data Informatics Analyst. Responsibilities include but, are not limited to: · Work across functional areas to assess oncology reporting requirements, determine the optimal visualization strategies, and then collect, analyze and present quality improvement data for purposes of Institute-wide program evaluation, management/decision-making, clinical quality improvement, and regulatory compliance.
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Architect and implement data pipelines using Airflow and Python. Design efficient data synchronization processes between on-premises Oracle databases and Snowflake using Kafka and CDC extraction tools.
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We are currently working in a hybrid environment and are seeking to fill one full time Data Quality Analyst immediately in Boulder, CO, Boston MA. Maintain data quality through monitoring, technology-driven processes (Oracle, Snowflake, REST APIs), and statistical analysis for data completeness, correctness, and freshness.
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To ensure the sustainability of coastal and inland water resources as well as reducing public health risk associated with waterborne illness in the context of recreation through the collection of data on physical attributes, environmental conditions and potential pollution sources capable of adversely impacting water quality, including municipal infrastructure, avian populations, algal blooms and hydro-meteorological conditions.
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Development, implementation, and maintenance of enterprise-wide data governance technologies, with a focus on improving data quality, data lineage and data discoverability.
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Preferred Background: Experience (-+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledge Strong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB and SQL Server, etc.
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Data governance: Defining governance policies and procedures to ensure data quality, security, and compliance throughout the organization, including metadata management, data privacy, and regulatory compliance.
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Axle is seeking a Data Scientist - Data Quality to join our vibrant team at the National Institutes of Health (NIH) supporting the located in Rockville, MD. We are looking for a skilled and motivated Data Quality expert to lead the development of Real World Data (RWD) assets to support projects at the NIH. The position will be based at Axle in Bethesda, Maryland, but functionally remote from US locations, with occasional travel annually.
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Highly skilled Quality Engineer to join our team at our client location in Hodges, SC. The ideal candidate will possess experience in utilizing scanning equipment such as Hexagon or Faro arm scanners to overlay scan data onto real objects and generate detailed comparison reports.
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Facilitate data collection and display of clinical quality-related data for internal reports and external reports, such as HEDIS, PCMH, Health Resources and Services Administration (HRSA), Community Clinic Association of Los Angeles County (CCALAC), EMR Meaningful Use Attestation, Uniform Data System (UDS) Reporting, and other reports as needed.
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Toyota Financial Services (TFS) Data & Analytics (DnA) team is looking for a highly motivated person to fill a role as a Data Quality Developer , Senior. Knowledge of information technologies, standards, and best practices prevalent in data governance, data management, data quality, and data privacy.
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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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Required Skill Strong on data Integration and architecture – Mulesoft, Informatica Cloud, MFT AI & MLOPS – Dataiku, RStudio, Datalab, Databricks BPM – Appian Data Storage, Prep & Modeling AWS Data Visualization, Visual Analytics Data Quality.
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Determines quality improvement opportunities by collecting and reviewing data. From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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data quality jobs Title: architect Company: Cognizant
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