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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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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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Production, Continuous improvement, Inspection, quality inspection, documentation, data collection, cmm, MQC, WI, Roundtest, Profile tester, roughness tester, microscope, micrometers, height gauge, spectrometer, x-ray.
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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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Citibank, N.A. seeks a Data Quality Lead Analyst for its Irving, Texas location. Implement Ab Initio process to ensure business critical data is validated and data quality is maintained throughout the process.
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Surveillance: Conducts clinical record review in conjunction with area Directors and Managers for monitoring Quality and Safety data collection and reporting. Assures data-based decision making for all quality assurance improvement initiatives.
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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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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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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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Responsible for understanding the various data sources available within IEHP for reporting and analysis, as well as a clear understanding of IEHP business operations to be able to appropriately guide the development of quality program activities, including analysis and reporting.
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Review member accounts through analysis for fraud or prevention of fraud by utilizing software such as, Visa Risk Manager, Visa Data Manager. Performs detailed analysis to detect trends, anomalies or patterns in transactions or relationships across a variety of data sources to determine liability, risk, sanctions, and/or impact of each case.
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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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Develop operational and oversight processes and procedures for Data Quality Measurement for Core Banking, Credit Cards, Commercial Payments, Credit Risk, Global Liquidity, Cash Management.
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The Director of the Office of Data Quality, plays a pivotal role in supporting Clinical Research for Dana-Farber/Harvard Cancer Center (DF/HCC) and Dana-Farber Cancer Institute. The Director of the Office of Data Quality will also interact closely with other DF/HCC and DFCI offices that support clinical research including: Clinical Trials Research Informatics Office, Office of Human Research Subjects, Clinical Trials Offices from all DF/HCC consortium sites, and DF/HCC Administration.
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