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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. Funding sources include NSF, DOD, DARPA, NIH, and DHHS. Faculty awardees include NSF CAREER and NSF CRII recipients.
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Experience with big data technologies and tools (, Databricks, Hadoop, Spark) is a plus. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. 3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala.
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Additional Skills We'd Like to See: Full-Stack Web Frameworks: Django, Python, Flask Front-End Frameworks: React, Angular, Typescript Cloud Computing Environments: Openstack, AWS, Azure DevOps & Automation Tools: Docker, Ansible, Gitlab Big Data Technologies: Spark, Elasticsearch, Hadoop, Neo4j Geo-Related Mapping Experience Join us at NGA and make a real impact on mission success.
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Proficiency with Power BI, data analysis, data query, data aggregation, data visualization, software development, system architecture, data transformation, data management, and big data technology.
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You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; Move easily between big picture thinking and managing relevant detail.
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Internship, course work/projects in space dynamics, satellite remote sensing are a big plus. Work location is on-site at the Suitland, MD NOAA Satellite Operations Facility (NSOF). Within the Joint Polar Satellite System (JPSS) constellation engineering group, as part of the Engineering and Mission Operations Support Services VI (EMOSS-VI) contract, this position working from the Suitland, MD and Greenbelt, MD locations requires proven education and experience to demonstrate capacity to perform JPSS satellite engineering at a high-performance level.
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Excellent communication skills, both written and verbal, with the ability to convey complex security concepts to technical and non-technical stakeholdersCloud certifications such as AWS Solutions Architect Associate/Professional, AWS SysOps Administrator, AWS Developer, or AWS DevOps Engineer Like we said, we are big fans of our people.
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Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra) Experience working with military aviation-based sensors and data (e.g. radar, electronic warfare, electro-optical, infrared, sonar, stores management, air data, fuel data, weapons data, engine data.
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Big Data Technologies: Experience with big data technologies like Apache Spark or Apache Kafka. Big Data Technologies: Experience with big data technologies like Apache Spark or Apache Kafka.
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As a Big Data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced Data Engineer like you to help our clients find answers in their big data to impact important missions from fraud detection to cancer research, to national intelligence.
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big job Company: Home Depot in Arlington, VA
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