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SKILLS: Senior Data Quality Assurance Engineer, Informatica, Tableau, QlikView, Quality Center, Data Strategies, Data Delivery, Hadoop, Data Quality Testing, ETL Testing, ETL tools, Oracle, SQL Server, SOAP UI, Jenkins, AntHill Pro, Bamboo, Quality Center, Agile Central (Rally), Scoop, Hive, Pig, NoSQL.
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Analytical skills and experiences for data mining, data quality, metrics generation, issue management systems, and statistical analysis tools (MatLab, JMP, MiniTab, etc) Working knowledge of product development methodologies such as Failure Modes and Effects Analysis (FMEA), Advanced Product Quality Planning (APQP), Production Part Approval Process (PPAP) elements such as Measurement Systems Analysis (MSA), and Geometric Dimensioning and Tolerancing (GD&T.
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Six Sigma green belt qualified and / or demonstrated ability in the use of quality engineering tools and techniques (quality core tools) and data interpretation. The Quality Engineer, Advanced Wound care role will be visible to the shop floor, new product development projects, you will support Quality initiatives, Advanced Operations Quality focus for AWC & other Quality and process improvements through the use of chemistry or chemical engineering knowledge, SPC, Process Capability, and Quality tools.
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Work closely with Evaluation Officer and other NCPC staff to support local partnerships and address issues with data quality by providing training and technical assistance. They will develop documentation and training regarding data collection and data reporting to ensure consistency and quality of data across the local partnerships.
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Subject Matter Expertise – Possesses significant knowledge and expertise in the practices of Enterprise Data Management and coordinating functions (Metadata, Data Quality, Data Governance, Data Lineage, etc.
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Maintain and optimize ETL processes to ensure data quality and reliability. The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, DBT, and Looker along with working experience in onPrem systems such as Teradata, SAP HANA. You will be responsible for crafting, building, and maintaining our data infrastructure and analytics solutions.
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Must have a minimum of one (1) year work experience in the biologics industry, preferably in a donor center, and a minimum of one (1) year quality assurance-related work experience. Provides advice and consultation to other management team members regarding daily quality assurance issues including donor suitability and/or product quality.
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Hands-on experience implementing data migration and data processing using Azure services, Serverless Architecture, Azure Storage, Data Factory, Azure Stream Analytics, Databricks Azure Data Catalog, Azure DevOps, CI/CD.
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Experience working in automotive industry as a quality engineer or supplier quality engineer; 3-4 years. Certification through the American Society of Quality (ASQ) in one of the following areas preferred: ASQ/CQE, ASQ/CSSBB, ASQ/CSSGB, ASQ/CQA.
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The HEDIS Data and Reporting Lead reports to the National Medicaid Quality Director and oversees and coordinates all aspects of HEDIS data collection strategy, analytics, and reporting for the Humana Healthy Horizons Medicaid business, and leads the National Medicaid Quality Analytics team.
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Proficiency in quality management systems, data analysis tools, and software applications. We are seeking an accomplished Regional Quality Manager to drive our quality assurance and compliance initiatives across multiple sites within our growing pharmaceutical packaging and printing solutions business vertical.
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Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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Strong experience in SAP MM, PP, QM, PM configuration, including master data, production orders, work centers, bill of materials (BOM), routing, shop-floor controls, quality inspection plans, maintenance plans, and notifications.
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Working closely with our data & analytics team and clinical trial experts, this role will harness the power of cutting-edge AI and LLM (Machine Learning and Deep Learning) technologies for enhancing decision-making in the field of clinical trial process.
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Familiarity with big data technologies such as DataBricks, Hadoop, and Kafka. Bachelor's degree in a quantitative discipline (i.e. statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science) with specialization in data science, engineering or related field preferred.
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data quality jobs Title: data architect in Raleigh, NC
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