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7+ years of experience in designing and implementing enterprise data stores, data warehouses, data governance, data quality management, real-time data ingestion, data modeling, and metadata management, using tools like Azure Synapse or Snowflake.
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Improve the quality of data and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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The Director of the Office of Data Quality, plays a pivotal role in supporting Clinical Research for Dana-Farber/Harvard Cancer Center (DF/HCC) and Dana-Farber Cancer Institute. The Director of the Office of Data Quality will also interact closely with other DF/HCC and DFCI offices that support clinical research including: Clinical Trials Research Informatics Office, Office of Human Research Subjects, Clinical Trials Offices from all DF/HCC consortium sites, and DF/HCC Administration.
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Our work depends on a Data Quality Analyst - Personal Security joining our highly skilled team to be a premier provider of cyber security services to the customer. Seize your opportunity to make a personal impact as a Data Quality Analyst - Personal Security supporting customer activities.
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The ideal candidate will have a strong background in data analysis and quality assurance, with proven experience in managing data in a clinical or similar setting. Assist in data gathering and reporting for Atlantic Health System’s ACO and requests received from health plans regarding HEDIS measures and other required metrics.
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Identify and develop the data operational processes to optimize, monitor and improve data quality and outcome for the data engineering, analytics and data science users and producers of data.
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Stay up-to-date with the latest technologies and trends in data engineering, data warehousing, ETL, data quality, data governance, and modern data warehouse operations.
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Role DescriptionThe Risk Data Steward (RDS) for Market Risk in the Data Management Team (part of the Enterprise Data Management Function) assists the Enterprise Finance Data Management Executive in implementing the organization's data governance strategy by advocating for the solutions aligned to our data principles, policies and standards and educate key stakeholders within Risk Management/Market Risk on purpose and value of data governance and importance of data quality.
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Demonstrated experience with developing data strategy, policies, and procedures, as well as successfully executing programs that meet or exceed expectations in a dynamic environment; experience creating tools and capabilities to assist with data discovery & collaboration, ensure data quality, and to load, clean, enrich, manage, and share data and metadata from a variety of sources.
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Use Python for data processing, automation, and data pipeline orchestration, ensuring data quality and governance. 5+ years of experience in data engineering with proficiency in Snowflake, dbt, and GCP services (BigQuery, Cloud Storage, Dataflow.
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Proven experience as an MEP Manager, QA/QC Manager, Quality / Cx Lead PM, Commissioning Manager, or similar role in data center and mission-critical projects. As the Commissioning Manager for Data Center Construction & Mission Critical Projects, you will be responsible for ensuring the highest standards of MEP systems, quality assurance, and commissioning processes throughout the construction phase.
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Oversee and continuously improve FDA / regulatory compliant Quality System for QC laboratory system. Serve as a leader within the QC group and as a knowledge resource (data review, electronic review, data integrity, GDP) within the company.
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Participated in establishing data management capabilities such as metadata management, lineage, data governance, data discovery, data protection, and data quality.
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Governance, Compliance, and Data Security:Implement engineering solutions to support robust data governance policies and practices to ensure data quality, compliance with global data protection regulations (e.g., GDPR, CCPA), and the security of sensitive and proprietary information.
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Collaborate with cross-functional colleagues (e.g., clinical scientist, study statistician, programmer) to develop data visualization application, statistical modeling and algorithm in R to address issues in clinical data quality.
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data quality jobs Title: ultrasound Company: Precision Scans Inc in Missouri-city, Missouri
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