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Experience with Databricks for data engineering and exploratory data analysis. Develop and deploy web applications and APIs using Streamlit, Flask, and FastAPI to enable interactive data visualization and real-time model interaction.
$150ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Monitor, analyze, and report on key performance metrics using business intelligence tools such as Tableau, providing insights and recommendations for data-driven decision-making. 4+ years’ of experience in Data Analytics, Business Intelligence and Reporting.
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As a Business Intelligence Engineer within Region Delivery Analytics team, you will be responsible to build data visualizations consumed by Infrastructure Delivery leadership using all development tools available, including Python, R, Apex and Oracle Analytics Cloud/OBIEE. The role also requires prowess in SQL and SQL Developer to build reportable datasets.
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Growing the Data Engineering business by helping customers identify opportunities to deliver improved business outcomes, designing and driving the implementation of those solutions.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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MA/MS degree in Computer Science, Computer Engineering, Data or Business Analytics, Data Management, or related field. Resubmit any revisions needed to the data after CDC review through SAMS, and use CDC's Enterprise Data Analytics and Visualization (EDAV) for data storage.
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Minimum of 2 years’ experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Minimum of 2 years’ experience driving insights using visualization tools (Power BI, Tableau, Alteryx) and analytics tools (i.e. Adobe Analytics, Google Analytics.
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Establish best practices for prompt Engineering and share with chatbot users. Using existing LLMs you'll create chatbot personas and systems to connect key knowledge centers in the business.
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Business Intelligence analysis and presentation tools, including Tableau and Power BI preferred. The ability to effectively mine data and draw relevant results on business performance.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Being a core and professional member of our data engineering practiceUnderstand business requirements and help refine development tasks and estimate their complexity. Working to design, build and support a transformational Databricks cloud data platform for the business.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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EOSID specializes in the complete optical imaging and remote sensing chain, from the analysis, design, development, integration, test and evaluation of imaging and sensing systems, to the processing, exploitation, and visualization of data and imagery.
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Georgia Tech’s faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security.
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A Data Engineer with GCP (Google Cloud Platform) experience is responsible for designing, developing, and maintaining data pipelines and infrastructure on GCP. This role involves working closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and optimized for various analytics and business intelligence applications.
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Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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business intelligence data visualization biomedical engineering jobs in Atlanta, DC, Australia
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