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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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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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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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You will work with big names and leaders in the field, focusing primarily on white collar criminal litigation, complex civil litigation, internal investigations, and compliance counseling. The exposure is second to none; litigating both criminal and civil cases at the trial and appellate level, as well as defending individuals and companies in prosecutions and investigations conducted by U.S. Attorneys’ Offices and multiple divisions of the U.S. Department of Justice (DOJ), including, Food and Drug Administration (FDA), Environmental Protection Agency (EPA), Securities and Exchange Commission (SEC) and Antitrust Division.
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GCP Vertex, GCP Cloud and Big Query. Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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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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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.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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 4 days ago - UpvoteDownvoteShare Job
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Experience with open-source Document Content Creation, OCR, and/or Document Storage systems such as Alfresco, Tesseract, Apache NiFi, Apache Tika, and/or Zbar is a big plus. Fluency with at least one modern language such as Python, Java, Go and experience with open-source software is a big plus.
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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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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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A core component of the Director's role is to make big-picture decisions and co-lead a best-in class technical assistance (TA) strategy, including business acumen and network development, capacity building, resource development, implementation, and special projects, along with evaluation and dissemination of impact.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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What You'll Do: As a Senior Software Engineer , you will be responsible for working on projects that support and extend the full stack of the TRSS solutions suite to deliver global data using advanced search, big data ingestion and analytical processing using tools like MongoDB, Elastic, and Kafka as well as building leading edge web applications.
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big job Company: Servicenow in Mclean, VA
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