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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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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.
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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 Jupiter Notebooks will be essential in ensuring efficient data processing and analysis.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.
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Proven in-depth experience in designing, developing, and implementing Data Management, Data Governance, Data Process, Data Quality, and Data Migration/ETL solutions.
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The Trauma Registrar is committed to high-quality data abstraction, meets both quality and productivity standards, detailed, and works well to ensure deadlines are met. With quality, service, and integrity as our core values, we specialize in quality staffing for hospitals nationwide with a focus in Trauma Registry.
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Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance.
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Experience and proficiency developing and implementing quality assurance and testing programs for workloads that are implemented with AWS services, and software development technologies that include Vue.js, Python, Django, S3, SNS, SQS, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, like Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, the MongoDB NoSQL database service, and other AWS services.
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The eDiscovery & Data Solutions Analyst is responsible for assisting with litigation automation, implementation of eDiscovery solutions, and providing support and administration of e-discovery and litigation support applications and systems as directed by the eDiscovery & Data Solutions Assistant Managers.
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The Senior Staff Data Scientist for Beckman Coulter Diagnostics is responsible for research, design, and development of data science/machine learning solutions for Hematology related products.
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Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID). Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) – Financial Services Office (Manager) (Multiple Positions) , Ernst & Young U.S. LLP, Tysons (McLean), VA.
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Each of these activities support the Single-Family, Multi-Family, Investments & Capital Markets, Finance, Enterprise Operations & Technology and Enterprise Risk Management business divisions to enable data governance and data quality on the data assets of the organization.
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For the Senior Validation, Engineer level: Working knowledge of target systems, including computerized information systems, manufacturing control systems (e.g., PLC, BMS, DCS, and SCADA systems), and laboratory automation systems (e.g., robotic systems, chromatography networks, data acquisition systems.
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data quality jobs Title: data quality analyst Company: Dodge Data Analytics in Silver Spring, MD
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