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We are looking for a Sr. Supplier Quality Engineer (Electrical) who will define data collections and requirements in order to monitor the performance of our PCBA and PCBA supplier base. - Utilize data collection and analytics to inform strategic supplier quality management decisions.
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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 National Center for Advancing Translational Sciences (NCATS) located in Rockville, MD.
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Essential Job Functions: Maintain the quality specifications for customer agreements and correct translation into the ERP to be used by the operations to make product. Certified ISO Auditor or ability to achieve this within the first year Organized and detail oriented Process focused and can do attitude Ability to travel up to 15% Proficient in using MS word, and Excel and Access to store, process, analyze and report data.
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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Under the direction of the Information Leader, the Data Quality Analyst - Senior interacts with business stakeholders, gathers information, analyzes business and technical requirements, develops, tests and implements data-oriented solutions, in accordance with firm policies and procedures.
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Requirements At least 5 years’ experience in aerospace quality required Experience creating and performing audits, quality data analysis, key characteristics, SPC, control charts, Control Plans, Gage R&R, PPAP, Risk Analysis, Airbus GRAMS, TS16949, sampling plans, value stream maps.
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As the coding data quality auditor you are responsible for the coordination of auditing and education in support of achieving organizational strategic initiatives. Performs functions as both coding data quality auditor/educator and is responsible for providing oversight on education and audits of medical records in compliance with federal coding regulation and guidelines.
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Solid understanding of data engineering concepts and techniques, such as data modeling, data warehousing, data integration, data pipeline, data lake, data quality, and data security.
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Develop, optimize, and oversee autonomous vehicle data infrastructure, including the creation and management of software tools, data catalogs, and robust data pipelines that facilitate efficient data extraction, transformation, and delivery of high-quality data products for internal use and stakeholder presentation.
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Crystal Stairs is seeking a Quality Assurance Specialist for our Quality Assurance Unit. Under the direction of the Quality Assurance Coordinator, the Quality Assurance Specialist conducts program monitoring and is responsible for data collection, and reporting for our Programs with a focus on.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Conduct data quality and gap analysis, develop a maturity plan and collaborate with data source owners on data sets Responsible for delivering Apptio system integration, enhancements, and optimization capabilities for dashboard reporting.
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Authors and manages currency of Configuration Management Plans (CMP) for Sustainment and EMD programs; researched and revamped documents to include data engineering, data integration, data quality, and security.
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This includes performing analytical methods, data review and trending, and implementation of GMP operational support systems ensuring a compliant Quality Control lab. Position Responsibilities: Perform cGMP analytical testing (bioassay, flow cytometry, qPCR, ELISA, and UPLC) Review and evaluate raw data from a peer or technical review level of all analytical methods, as well as sample authorization.
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data quality jobs Title: operations Company: Amazon
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