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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), Theory and Algorithms, Machine Learning (ML), networks (DECENT), Big Data Management and Mining Laboratory (BDLab), Mobile and Pervasive Systems Lab (MAPS Lab), and Parallel and Distributed Systems (PDS.
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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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The current strengths of the faculty are in the areas of algorithms, artificial intelligence, computer networks, cybersecurity, graphics, parallel and distributed systems, cyber physical systems, data science, machine learning, and theory.
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Who We Seek If you are someone who is mission-driven, humble in your reflections about your practice, smart in the ways you approach data, and results-oriented, we’d love to see you apply. School-based staff members will work towards 2 or 3 metrics that are aligned to both their individual roles AND the Big 5.
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Technical experience with defensive tools for actioning threat intelligence including tools like SIEM/Splunk, EDR, Big Data Platforms, etc. Technical experience with defensive tools for actioning threat intelligence including tools like SIEM/Splunk, EDR, Big Data Platforms, etc.
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Familiarity with technologies and design concepts around Big Data Processing and Relational Databases such as: ETL, Hadoop Ecosystem, structured data, SQL schemas and queries etc.
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Complimentary market knowledge/competitive landscape in assisted service, self-service, device-based commerce, IoT management services, product marketing, content/knowledge management, big data business analytics and CRM.
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This role will start out primarily focused on supporting our security metrics program, with a big focus on data engineering and making security metrics easily accessible and highly impactful for stakeholders.
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Semios is a market leader in leveraging the internet-of-things (IoT) and big data to improve the sustainability and profitability of specialty crops. With 500 million data points being reported by our sensors every day, we leverage our big data analytics, such as in-depth pest and disease modeling, to empower tree fruit and tree nut growers with decision-making tools to minimize resources and risks.
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Experience with big data technologies and frameworks, such as Apache Spark or Hadoop, enriching the skill set for handling large-scale data processing and analytics tasks. AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics – Specialty), demonstrating a deep understanding of AWS cloud services and best practices.
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Primary Skills:o Big Data: Spark, Scala, Pyspark, HDFSo Microsoft Stack: MS-SQL with strong knowledge in RDBMS conceptso Hadoop (Hortonworks) and Hiveo Cloudera Data platform (CDP)o Scripting Languages: Batch Script, Shell Script, Python.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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We use cutting-edge technologies like AI, machine learning, cloud computing, and big data analytics to protect investors and ensure market integrity. Drive alignment and implementation of an enterprise-wide Data Governance operating model, ensuring a clear understanding of data ownership and stewardship with well-defined processes and roles.
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big data jobs in Denver, Laramie, Wyoming
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