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Preferred Background: Experience (-+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledge Strong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB and SQL Server, etc.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Work with Global Risk stakeholders to ensure their data quality requirements are met and ensure that data quality issues originating from Consumer business processes are remediated in a timely manner in support of policy compliance objectives, employing the knowledge of data processing and quantitative techniques and hands on experience of Data Quality Metadata Management tools: Collibra Catalog, Metadata Hub, Data Lineage Tool Solidatus.
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Responsible for performing audits of protocol, SOP, and elements of the quality system to ensure preclinical in-vivo studies are compliant to the GLP regulations (21 CFR Part 58) and internal procedures.
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Data Collection and Analysis: Collect and analyze supplier performance data from the MDR data base, IHS, and supplier corrective action systems to describe supplier performance to reduce appraisal and prevention costs associated with the supplier quality assurance approach for selected commodities, suppliers and/or individual items.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Additional duties are to provide system administration tasks for all DCIM systems which are comprised of EPMS’s, BMS’s (Building Automation Systems) and SCADA (Supervisory Control and Data Acquisition Systems.
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He Data Center Infrastructure Management (DCIM) Engineer II is responsible for the management and administration of the Electric Power Monitoring Systems (EPMS) and Building Management Systems (BMS’s.
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Collect and analyze shop-floor data as a basis for continuous improvement and prepares daily, weekly, and monthly quality assurance summary reports. The Quality Manager will be responsible for the quality assurance function of the manufacturing facilities, OEM suppliers, and contract manufacturers for Tate.
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Strong background with source control management systems (GIT or Subversion); Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps.
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Documentation and Record Keeping in IQMS Maintain detailed records of quality control activities, including material inspections, calibrations, process control data, and inspection results.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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The RN - Quality Improvement Specialist will be responsible for gathering and evaluating clinical data from the organization, analyzing data for patterns and trends in the delivery of healthcare; researching root causes for specific patient care trends; training and educating staff to promote good quality practices and ensuring compliance with all applicable laws and regulations.
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data quality jobs Company: Enterprise Mobility in MN, France
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