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Develop systems to monitor newly acquired neuroimaging and behavioral data for completeness and develop an organized storage system; Maintain quality control of neuroimaging data by developing, implementing, and overseeing data entry, scoring, and quality control protocols.
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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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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.
$55 - $60 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Data Scientist within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes.
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You will be helping clients in areas such as (but not limited to) Data Governance, Metadata Management, Data Architecture, Data Modelling, Data Quality, Document and Content Management, Master Data Management, Open Data, Personal Data Protection, Data Security.
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The ideal candidate brings technical skills in data quality and analysis, has strong attention to detail, is curious about the ‘why’s behind data, and is inspired by the opportunity to collaborate with a range of stakeholders – from small, private firms in emerging markets around the globe to USAID staff to the internal MSP program team – to enhance greater effectiveness and impact from international economic development initiatives.
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You will contribute to all data management aspects, including data governance, data quality management, master data management, enterprise data integration by analyzing raw data, writing data pipelines in Azure Data Factory, SQL, Python, and Spark, and solving data issues as they arise during development and after deployment.
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Maintaining familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog, etc. Demonstrated ability to analyze large data sets to identify gaps and inconsistencies in ETL pipeline and provide solutions for pipeline reliability and data quality, preferred.
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Use data science methods, including but not limited to Artificial Intelligence/Machine Learning (AI/ML) approaches, to perform data processing (e.g. filtering), feature recognition, alarm threshold determination, pattern matching, statistical trending, scoring of detection quality, and integration of other information into decision making.
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The primary purpose of the Associate Data Scientist position is to provide bioinformatics analysis of next generation sequencing (NGS) data for faculty across the institution, to process NGS data for Advanced Technology Genomics Core facility, to perform quality control (QC) analysis and to maintain QC metrics and sample records of NGS experiments on the servers, and to meet with faculty to review data analysis results.
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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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Delta, founded in 1971, is a global leader in switching power supplies and thermal management products with a thriving portfolio of smart energy-saving systems and solutions in the fields of industrial automation, building automation, telecom power, data center infrastructure, EV charging, renewable energy, energy storage and display, to nurture the development of smart manufacturing and sustainable cities.
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Reliability Statistics, Reliability Verification, Semiconductor Device Physics, Semiconductor Equipment and Fabrication, Statistical Process Control, Statistics and Data Analytics, Data Mining, Defect Density Analysis, Defect Metrology, Design of Experiments (DOE) Principles, Design Validation, Fabrication Process, Failure Analysis, Failure Modes, Fault Isolation, Probability and Statistics, Quality and Reliability, Reliability Fundamentals Reliability Modeling and Measurement.
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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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data quality jobs Title: data quality analyst Company: Arjo
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