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These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Own the data mapping, business logic, transformations, and data quality in collaboration with business partners such as Sales Operations, Finance, Field Sales, Data Engineering teams.
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Thorough knowledge of quality assurance, quality improvement, utilization review, risk management, and accreditation and licensing requirements including The Joint Commission, NCQA, Knox-Keene Act, Federal HMO Act, CMS, Cal-OSHA, Public Employees Medical and Hospital Act, HIPAA and Medi-Cal regulations and standards.
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Desired experience with laboratory informatics software such as a networked Chromatography Data System (CDS), Laboratory Information Management System (LIMS), Electronic Laboratory Notebook (ELN), or Scientific Data Management System (SDMS.
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Monitor System build data and drive FA / Root cause investigations on component failures with vendors and internal teams to resolve process & quality issues in the product and manufacturing processes.
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Apply broad knowledge of technology options, technology platforms, design techniques and approaches across the Data Engineering ecosystem to build systems that meet quality needs. - Participate in the growth of the Data Quality Excellence practice by sharing knowledge and lessons learned, continually improving best practices, and contributing to methods that will systematically advance workforce capabilities.
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Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, Data Archival and Data Migration strategies using appropriate tools is desired.
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Collaborate with software developers and machine learning engineers and follow data science methodologies around model selection, training data set sampling strategy, model validation and monitoring to ensure quality and performance of models in production.
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Supplier Data Manager. Manages the extraction, transformation, and loading of monthly spend data from OneStream for use with the Ivalua eProcurement platform and the Carbon Accounting projects.
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Apple's Global Business Intelligence (GBI) team is seeking an expert Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
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We are looking for a candidate with an exceptional ability to engage crossfunctionally with other teams including Microbiology, Software & Data Science, Hardware Engineering, Process Engineering, and Quality & Regulatory Affairs (QA/RA.
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Improve the data quality and transparency of the pipelines (defining data requirements and data flow visibility - lineage, sources, transformations). Experience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services (Snowflake.
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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data quality jobs Title: quality manager Company: Deloitte in Santa Clara, CA
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