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Strong understanding of data governance, data quality, and data security principles. Title: Data Quality Engineer. Ensure data quality and integrity by developing and implementing data validation and testing strategies.
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The ideal candidate will have extensive experience in Python Data warehouse TOSCA DI Test Automation Oracle SQL and ETL Validation. Guide in TOSCA DI to automate testing processes and improve software quality.
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Accountable for execution of quality control testing and supportive processes including sample /inventory management, scheduling, documentation, compliance review, results reporting (CoA), and scientific interpretation of data / method performance to ensure high quality data and control of immunoassay and bioanalytical methods.
$197,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Further agile and DevOps practices to ensure efficient and high-quality data engineering processes. Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.
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Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation - JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge in enterprise data management architecture and principles, master data management, data governance and data quality on cloud hyperscalers ( Azure,AWS, GCP.
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Main Responsibilities: Collaborates, together with Quality, Sanitation, DCT, Corporate Food Safety and Production Team on new project design, implementation, Collects and analyzes data regarding lethality of new products Collaborates with Quality Specialist (Supervisor) on innovations, ingredient documentation, sampling/sensory, allergen profile, etc.
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Collaborate with data insights and population health team, and other Contexture teams, to advise on best practices for utilizing clinical workflow knowledge and data standards as it relates to HIE data quality and delivery.
$9,583 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in some of the following leading data and analytics technology stacks, such as Azure (ADF, Functions, Event Hub/Grid, Streaming, Synapse), AWS (Kinesis, Firehouse, Glue) Snowflake, DBT, Databricks, Informatica, DBT, Denodo.
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Data Strategy: Contribute to the development of data collection strategies to optimize statistical efficiency and data quality. As our first Data Scientist, you will leverage data to drive insights and strategies that will propel Hang's platform to new heights.
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Interact with internal cross-functional teams, including Analytical Development, CMC, Supply Management, Regulatory Affairs, Program Management and Quality Assurance, as well as with Alpine's/Vertex network of external CMOs/contract labs to support company's clinical programs.
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Support data review of cell therapies, AAV products, and Critical Components. Experience in data review, organization, and analysis using statistical software. They will actively collaborate with research, process development, quality teams, regulatory and CDMOs to ensure a compliant stability program in addition to providing Quality Control support to ongoing CRISPR Tx programs.
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L3Harris Enterprise Data, Analytics, and Automation team is seeking a Principal Data Quality & Governance Specialist to manage the increasing complexity of the company’s data assets, ensuring data integrity, quality, and compliance with governance standards.
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You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics. Own data quality for key Salesforce data points, establishing processes and best practices to maintain and improve data integrity, and leveraging the latest tools for data cleansing.
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Develop and enforce data governance policies, including data quality, lineage, and metadata management using tools like Azure Purview. Skills: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL Database, Apache Spark, Hadoop, Databricks, and Azure HDInsight.
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data quality jobs Title: informatica Company: Cognizant
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