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Responsibilities: Direct Client Interaction: Provide one-on-one ABA therapy to clients based on individualized treatment plans developed by the BCBA. Data Collection: Accurately record client progress and behavior data during sessions using designated data collection methods.
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Must be Proficient in Azure, Azure Data Factory, DataBricks, SQL, Python, and Snowflake. Key Responsibilities:Design and develop data pipelines, ETL processes, and data models using Azure, Azure Data Factory, and DataBricks.
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Analyzing aerodynamic loads, performance, stability, and control using empirical methods, hand calculations, vortex lattice codes, CFD, and flight test data. Perform wind tunnel testing and data analysis to validate computational predictions.
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Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more.
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Experience in SAP integration with trading platforms (e.g., FXall, 360T) and market data feeds (e.g., Bloomberg and Reuters). A strong understanding of cash management, FX, Debt capital markets, and interest rate risk management.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Experience with data persistence technologies such as SQL Server, MongoDB, Kafka, Redis, etc. An SDET will work closely with other members of agile delivery teams (Software Engineers, Test Engineers, Data Integration Engineers, etc.
$120,560Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Engineer, Technology Consulting, Financial Services Office (Manager) (Multiple Positions), Ernst & Young LLP, Tampa, FL. Collaborate to deliver solutions utilizing leading big data platforms and cloud technologies (, Azure, Databricks, GCP, Cloudera, etc.
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This person will also play a key role in assembling & reviewing data that will be used to ensure that Citi is in compliance with the two Tier 1 regulations pertaining to third party risk management.
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At least five (5) years of experience at the postdoctoral and/or research scientist (or equivalent) levels in data analysis, data quality, business analysis, information technology, quantitative and/or qualitative research, or degree-related field required.
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Job Description Customer Service Computer Job - Work from Home Part Time Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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The Inspection Underwriter will have a thorough understanding of Orchid's strategies, underwriting and will use internal and external data to make appropriate portfolio risk decisions. Manage diary system within Orchid's data management system to ensure inspection reviews and inspection follow-ups are completed within carrier guidelines.
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Able to operate instruments required for the collection or distribution of survey data (total station, data collector, GPS). Downloads and uploads survey data to the proper files in the computer network or field data collector.
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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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The Senior Exploitation Specialist/Data Scientist will be responsible for developing tradecraft techniques and training solutions for discovering, preparing, manipulating, and normalizing big data so that methods are repeatable and can be explained to users.
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big data jobs Company: Clearancejobs in Tampa, CA, Us
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