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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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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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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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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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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with big data / visualization tools such as PowerBI, Tableau and the core concepts of relational data. Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club.
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At least 10 years of Experienced with all the tasks involved in administration of big data and Meta Data Hub such as Cloudera. The selected candidate will be responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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TBC meets the needs of consumers in search of total car care at more than 3,200 franchised and company-operated tire and automotive service centers under the brands NTB, Tire Kingdom, Big O Tires and Midas.
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Experience with big data technologies & tools like Spark, Databricks, EMR. Experience with big data technologies & tools like Spark, Databricks, EMR. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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Knowledge in big data and streaming data pipeline architecture (Lambda/Kafka) and K8s clusters. Understand open-source databases like MySQL, PostgreSQL, etc., as well as No-SQL databases like ONgDB, Cassandra, MongoDB, Elasticsearch, etc.
$236,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra) Experience working with AEGIS or similar missile defense and anti-air combat systems (e.g., AEGIS, THAAD, Standard Missile, and GMD.
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At Capital One, you’ll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. As a Capital One SailPoint Engineer, you’ll work on our SailPoint IdentityIQ platform to support Identity Access Management needs.
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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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Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS, and MATLAB.Experience using technologies for manipulating structured and unstructured big data. Big data technologies may include—but are not limited to—Hadoop, Hive, Pig, Spark, relational databases, and NoSQL.Experience using Unix, Hadoop and related technologies (Spark, Hive, etc.
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big job Company: Kimpton in Mclean, VA
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