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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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Job Summary: As the Quality Manager for our structural steel company, you will be responsible for leading a team of individuals and overseeing the quality of welds in our steel fabrication processes.
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Incorporate core data management competencies including data governance, data security and data quality. Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
$121,000 - $199,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Drives code quality, automation, DevSecOps / Data Ops for multiple Contact Center ARTs and contributes towards successful delivery of work. Accountable for engineering and development of high-quality data solutions aligning to the architectural design and business needs with a keen eye towards reusability of code assets, consistency in engineering practices and scalability of data pipelines.
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Monitor for and report on data quality issues from Data Sources or within the HIE. Proficiency in tools and technologies used in data quality, including Excel and other Microsoft products.
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Assist with performing non-destructive testing to ensure quality and detect defects; methods include: Visual Inspection, Ultrasound Testing, and Magnetic Particle Testing. Nova Data provides both on the job and classroom training and development to further our employees' careers as an NDT Technician.
$16 - $22 an hourFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Are you an experienced MDS nurse interested in the next step?
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Axle is seeking a Data Engineering - Data Quality to join our vibrant team at the National Institutes of Health (NIH) supporting the located in Rockville, MD. We are looking for a skilled and motivated Data Quality expert to lead the development of Real World Data (RWD) assets to support projects at the NIH. The position will be based at Axle in Bethesda, Maryland, but functionally remote from US locations, with occasional travel annually.
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The candidate must have strong ability to define and socialize data quality progress and overall program progress to senior leadership, as well as define roles and responsibilities of data owners across functions.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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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.
$73,500 - $136,353 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Developing test automation and enabling DevOps through continuous testing Working knowledge of AWS based data sources such as Aurora Postgres, Redshift, Athena, AWS Glue, DMS Services to deliver strong Quality solutions An Agile mindset with experience working in Agile environment.
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Dabei ist unser Themenspektrum breit: Von CFO-Strategie über Process Excellence, ERP-Systemen, Quality Assurance, Compliance und Data Management. B. Hadoop, Tableau, Power BI, SAP Data Warehouse Cloud, Databricks, SAP HANA, Streaming Analytics) mit und setzt dich gern mit Fragestellungen auseinander, die Themen wie Business Intelligence, Data-Mining, Predictive-Analytics oder Machine Learning umfassen.
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Proficiency in biological/water quality data analysis and statistics. Demonstrated field experience conducting some or all of the following: water quality sampling, biological assessments, habitat assessments, fluvial geomorphology surveys, aquatic sampling techniques (e.g. electrofishing, seining, kick net), or sediment sampling.
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Use data science tools to improve data reliability, efficiency, and quality. Working Knowledge of data pipeline and ETL tools (Apache Airflow, Databricks, Apache NiFi, Azure Data Factory, etc.
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data quality jobs Title: senior manager Company: Optello
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