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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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In addition to general computing labs, the department houses several specialized research labs in graphics & VR/AR, Cyber-Physical Systems (CPS), Active Cyber Infrastructure and Defense (ACID), Machine Learning (ML), networks (DECENT), Big Data Management & Mining Laboratory (BDLab), Animation, Neuroscience & AI, and parallel and distributed systems (PDS.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Experience in Big 4/public accounting performing audits and related services for a diverse client base, and at least 7-8+ years of transaction services / due diligence experience. Data gathering, manipulation, and analysis.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Participates as an active member of cross functional clinical study teams, program level teams, submission teams and provide expert guidance on CDM, CDISC and data quality. ·Ensure the activities described in the Data Management Plan (DMP) are executed in accordance with the DMP, including data acquisition, data transfer, data reconciliation and review, medical coding, data extract and rolling data freeze, data lock and database lock.
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About Xentity We are a fast-growing data consulting and support services firm - focused on large data programs in data types such as geospatial, open, big, and IoT data.
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Hands on experience with data modeling tools (SAP PowerDesigner), database management systems, big data environments and ETL tools. The ideal candidate will possess in-depth knowledge of cybersecurity principles, data management best practices and have a proven track record of successfully implementing a monitoring and logging strategy in both structured and unstructured data within a big data environment.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Job Title: Senior Data Engineer (Remote - California) Design and develop scalable data pipelines using tools like Apache Spark and Kafka. Familiarity with data warehousing solutions (Snowflake, Redshift.
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This role involves setting up and maintaining permanent data pipelines from diverse sources into our data fusion engines, specializing in drone data, satellite imagery, RF emissions, OPIR data, Ad tech, AIS, ADSB, CTV, and full-motion video data.
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Familiarity with one or more Python data visualization libraries (Bokeh, Matplotlib, Seaborn) Familiarity with one or more Python data science and/or statistics libraries (Pytorch, Scikit learn, Statsmodels.
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A combination of related education and/or relevant experience in physical and/or biological sciences, environmental sciences, environmental studies, atmospheric sciences, engineering, sustainability, public policy, environmental law, or related fields of study; environmental planning, transportation planning, regulation development, quantitative and qualitative data analysis, geographic information systems, environmental policy, or closely related work equal to five (5) years.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
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Ability to integrate data from all disciplines including geology, petrophysics and geophysics. Evaluations may include pressure and rate transient analysis, decline curve analysis, nodal analysis, material balance calculations, integrating data available from all disciplines to perform well and reservoir modeling, EOR studies and economic analysis.
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big data jobs Company: 3i Infotech in Denver, Peoria, Arizona
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