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Required Qualification:Completion of a medical assistant training program and/or 1+ years medical assistant experience in an urgent care, physician, or emergency room setting, or enrolled in an accredited Radiologic Technologist programPreferred Qualifications:Direct experience with the following tasks:Clinical intake, patient data collectionLaboratory specimen collection (blood-draw/venipuncture, urine collection, point of care testing, etc.
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Systems Knowledge Understanding of common order management systems for booking FX, Interest Rate, Fixed Income and Equity derivatives, such as Wall Street Systems, Summit, Murex, Bloomberg etc and their underlying data structures.
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Develop and debug scripts to perform ongoing data analysis, AML transaction monitoring rules tuning utilizing programming languages such as SQL, Python. Analyze and interpret data to facilitate statistical analysis for development, testing or tuning of financial crimes compliance detection rules.
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Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Data Entry Clerk Work From Home - Part Time Remote Focus Group Panelists Our company is seeking individuals to participate in. No Data Entry experience needed. Data Entry Clerk Work From Home - Part Time Remote Focus Group Panelists Our company is seeking individuals to participate in.
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Prior 3 year of technical operation experience for business-critical application(s) over public cloud (AWS specific is a big plus) services: VPC, subnets, network access control lists, security groups, EC2 instances, S3 buckets, IAM, Route 53, Lambda.
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The company secures remote work on any unmanaged or BYOD computer with a radically simplified and less costly solution than virtual desktops or having to lock down every PC. Similar to an MDM solution but for laptops – work lives in a company controlled secure enclave installed on the user’s PC or Mac, where all data is encrypted and access is managed.
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Big Data Management and Analytics – Knowledge and ability to plan and execute, big data management and analytics. Operational Risk – Knowledge of policies and processes for operational risk management; ability to use tools, data, and best practices to identify, assess, and manage operational risk exposures.
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Prrgmg language, MS D365 Extensibility & customization: Forms, data entities, workflows, reports, MS D365 data integration & migration frameworks: DIXF, DMF, OData, BYOD, SSRS Reporting, MS D365 integration w/ Azure services: Service Bus, Logic Apps, Function Apps, MorpX dvlpmt tool.
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As part of EDM, our Divisional Data Officer team is responsible for design, delivery and adoption of many of the enterprise Data Governance processes including Data Quality Management, Issue Management and Remediation, Data Lineage Management, Data Catalog Management, Business Glossary Management, etc.
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The facilities engineering role is responsible for the management of all critical systems infrastructure supporting data centers to include Generators, Automatic Transfer Switches (ATS), Uninterrupted Power Systems (UPS), Cooling CRAC units, center Fire Suppression systems, leak detection and critical systems monitoring/alerting platforms.
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Controller’s data protection officer is Nadiera Toolsieram, who can be contacted at privacy@evertz.com. When you apply to a job on this site, the personal data contained in your application will be collected by Evertz Microsystems Ltd (“Controller”), which is located at 5292 John Lucas Drive, Burlington, Ontario, Canada and can be contacted by emailing privacy@evertz.com.
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They will work to analyze revenue trends and data, reconcile transactions to the general ledger and other shadow systems, and identify opportunities to streamline business processes throughout the Athletic Department.
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It also boasts three professional sports teams, a zoo, aquarium, the National Aviary, excellent schools and health care, and a wide variety of outdoor and family activities, including Idlewild, Kennywood and Sandcastle Water Park. Despite Pittsburgh's big city offerings, people are friendly, crime is low, rural settings are within commuting distance, and cost of living is well below average.
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Experience with major NLP frameworks (spaCy, fasttext, BERT)Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS. As part of our team, you must be a data nerd with a strong understanding of the various fundamentals of data science and analysis and know how to bring data to life.
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big data jobs Company: At T in Pittsburgh, PA
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