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Assist in physical audits of products and verification of data in Google Sheets, NAV and Metrc. Biotrack (Seed to Sale) data entry verification and adjustments for Processing Department products.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Experience retrieving, cleaning, and analyzing large environmental datasets and geospatial data layers, such as land use, hydrography, climate, and water sampling data. + Experience with data analysis tools and platforms, such as R or Python programming languages for data cleaning and analysis and ArcGIS software for analyzing and mapping geospatial data.
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Work on public cloud infrastructure, Big data technologies, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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Support the development and test of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as mariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.
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This position will perform data analysis tasks and support the development of data tools as part of project teams that serve clients with the U.S. Environmental Protection Agency and other government agencies in the areas of drinking water protection, climate resilience, and surface water quality management.
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This is your opportunity to use your experience with ERP/ERM/CX Sales & Service/HCM to make a big splash in your career. Oracle's outstanding suite of products-including Oracle Cloud Enterprise Resource Management (ERP), Enterprise Performance Management (EPM), and Supply Chain Management (SCM), Customer Experience in Sales and Service (CX), and Human Capital Management (HCM) -provides end-to-end solutions with mobile optimization through cloud deployments.
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Praxis University: Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and hands-on training.
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In alignment with the MVO Team Education and Training leader, provide internal training and share expertise on scientific, health policy, and HEOR data to appropriate stakeholders. Contribute to the organization and submission of outcomes research project data for presentation at scientific congresses and authorship in scientific publications.
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Manage matters within Cardinal Health’s internally hosted E-Discovery platform including processing, data culling, email threading, predictive analytics and workflows, tagging layout design and implementation, custom field creation, batch creation, search creation, production sweeps and QC, and production creation and transfer all with an eye toward best practices.
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You’ll be supporting highly distributed, massively parallel computation needs such as Hbase, Hadoop, Acumulo, Big Table, Cassandra, Scality et cetera. Ten (10) years of experience working with products that support highly distributed, massively parallel computation needs such as Hbase, Hadoop, Acumulo, Big Table, Cassandra, Scality et cetera.
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BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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Join Under Armour's Digital Product Security team and secure cloud infrastructure that powers our customer web sites, mobile apps, and APIs. You will play a crucial role in designing, implementing, and overseeing the security measures of our cloud-based systems and services to keep 200M athletes' data secure while they improve their lives through better health & fitness.
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Our team designs and integrates macrocells such as memories, transceivers, processors, compression algorithms, regulators, sensors, and data converters into customer-centric solutions. Description: Are you an experienced ASIC, FPGA, or PCB hardware design or reverse engineer that wants to be part of a team analyzing and creating custom hardware designs.
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cassandra big data jobs in Annapolis, MD
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