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Structured and NoSQL databases: Informix, Oracle, PostgreSQL, MongoDB, Cassandra. Structured and NoSQL databases: Informix, Oracle, PostgreSQL, MongoDB, Cassandra. Design, develop, and implement Generative AI models and algorithms LLM models (Falcon, Llama2), Google (PaLM, Gemini), Open AI.
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Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare.
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Experience: 5 years of technical experience performing ETL development; developing and scheduling batch jobs; developing UNIX Shell Scripts for data validation and reconciliation; designing relational and dimensional databases; performing data integration in AWS using Python and HIVE; developing Python data integration and validation scripts; and performing real-time data integration using messaging queue(MQ.
$146,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Desired Skills : Big Data | Testing | ETL Testing | MySql. Understanding on Data Dimensions, Data Quality, ETL/ELT, Big Data. CA TDM Broadcom, Deplhix and Data Modelling experience must have.
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Structured data sources – Oracle, MySQL, Terradata, MongoDB. Hands on experience in scripting and Data mining. Operationalizing data pipelines – from requests intake, processing, reserving, delivery and restoration of data.
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Guidehouse is seeking a Data Analyst to join our Defense and Security Segment, where the individual will collect and analyze data to identify trends, develop visualizations in support of organizational and mission goals, and support decision-making for large-scale programs within the Department of Homeland Security (DHS.
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Determine well-defined data collection methods for extracting, identifying, and compiling environmental data from soil sampling, soil gas sampling, groundwater sampling, stormwater sampling, boring logs, and other matrices for projects, investigations, and surveys.
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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.
$20 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 ideal candidate will have a wide breadth of expertise in data science with special emphasis on predictive modeling and forecasting as well as proficiency in Python, SQL, TensorFlow, and experience using platforms such as Google Vertex AI and NVIDIA NeMo. Experience in data preprocessing using tools like Alteryx and Google Dataflow is also essential.
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Your Impact Determine well-defined methods for collecting, compiling, and analyzing data from the physical work site, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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Maintains required client, legal and administrative record and statistical data as required by St. Vincent de Paul CARES and program funders including use of HMIS. Maintains required client, legal and administrative record and statistical data as required by St. Vincent de Paul CARES and program funders including use of HMIS.
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Knowledge of lidar, topobathymetry, photogrammetry, hydrography, airborne data acquisition, satellite imagery and SAR, and other geospatial sciences. · Possesses knowledge of the specifications and production processes for geospatial data, services, and application development.
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G., Blue Prism, Big Data, and Natural Language Processing (NLP)] is a plus, but not required. Our mission: to solve big IT problems with a more personal, boutique approach. Build, review, and own test plans and test cases, facilitate the gathering of test data.
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