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Design, build and maintain data product framework to support EquipmentShare application data science and analytics features. Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow.
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You will stay on top of the latest data engineering trends and software for customer-centric digital experience personalization. Job DescriptionAs Data Engineer, you will apply your expertise in data and analytics to power customer experiences and journeys across channels.
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Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management.
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Analyzes trauma registry data and provides registry reports on a regular basis to identify areas for improvement, education and injury prevention activities and validates data. Participates in trauma related research by providing data to investigators in compliance with HIPPA and Prisma Health IRB regulations.
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Advanced programming experience and big data experience. Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
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Completes complex work for research and development, CGMP and GLP studies and documents and reports data in a timely manner according to regulatory guidelines. Plans the conduct of a study; monitors study procedures to ensure data accuracy and report quality; conducts complex analysis and experimentation on substances, for purposes such as product and process development and application, quantitative and qualitative analysis and improvement of analytical methodologies.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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This position is remote but may require travel to corporate as neededBS in Computer Science, Applied Data Science Analytics, Business Administration, or equivalent with 5-7 years of experience.
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Experience in architecture, design, and implementation using Databricks and Azure Data Factory. Client is currently running an Azure Data Lake 2 / Azure Data Factory / Spark / Databricks infrastructure with approximately 300 production use cases that consolidate several streams of healthcare data.
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The IRCV Tech performs invasive procedures, ECG's, monitors patients during procedures, sterile prep, prepares test results and data for review. Registered Cardiovascular Invasive Specialist (RCIS) or Certified Interventional Technologist (CIT) or Cardiovascular Technologist (CV) preferred.
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What we offer: RBT , BCaBA, and BCBA Training , Supervision, and Examination Fees Comprehensive training on ABA Opportunity to grow in the field of ABA Great work culture Salary range $20-$28.00 an hour Electronic data collection Paid training Meaningful work-life balance with flexible full and part-time working schedules Career opportunities within the STEPS organization.
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Data-driven, evidence-based learning and instructional models, including SESI’s own positive behavioral interventions and support (PBIS) framework called CASE.Competitive salary of $60,000-65,000 based on experience and credentialsAn attractive and robust suite of benefits, including comprehensive healthcare benefits, 401(k) with employer match, employee assistance program, mental health support, fertility and family building, and more.
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Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. Familiarity with Modern Data Stack concepts such as Composable CDP, Data Mesh, and reverse ETL is a plus.
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More specifically, a qualified candidate will have a background leading teams focused on extracting critical data from dense sources (e.g., modeling and simulation tools, sensors, and/or machinery control systems) and translating that into actionable, mission-level information for autonomous decision making onboard uncrewed systems.
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Validate payer source, obtain pre-certification and/or prior authorization by reviewing clinical data and documentation against InterQual and Milliman Care Guidelines (MCG) criteria and/or payer guidelines against planned level of care to validate, if appropriate.
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big data jobs Title: science in Columbia, PA, Canada
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