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Strong knowledge of big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). The ideal candidate will bring a deep understanding of defense and intelligence operations, coupled with expertise in advanced data science methodologies including machine learning, deep learning, geospatial analysis, textual analytics, anomaly detection, and more.
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G., Blue Prism, Big Data, and Natural Language Processing (NLP)]. Build, review, and own test plans and test cases, facilitate the gathering of test data. g., Blue Prism, Big Data, and Natural Language Processing (NLP.
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They also use Python, Docker, Jupyter, Pandas, and DBT.Experience working with large data sets is also a big plus. If you are local to Southern California that is a big plus but not required as this role is 100% fully remote.
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Strong proficiency in data engineering technologies, such as ETL frameworks, big data processing, and SQL and NoSQL databases. As the Principal Data Engineer, your primary role will involve crafting, conceptualizing, and executing scalable and resilient data solutions to facilitate streamlined data processing, storage, and access.
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This person will be a big fish in a small pond - mainly responsible for network security and information security, making a direct contribution to the security of the company’s data and networks.
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An AI focused company based in DC that uses cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy and healthcare. Role- Cleared DevSecOps Engineer TS/SCI.
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Experience with Kafka, Splunk and Big Data. Must have strong data structures and multi-threading. Need strong JAVA & J2EE technologies and need to be good with JS frameworks, data structures and threads.
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A seasoned senior JAVA developer to be part of Prime Data Services team who will be responsible for enhancing exiting big data pipelines and working on new data ingestions/distribution frameworks.
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The team currently has 10 engineers that handle duties related to Incident Response, Vulnerability Management, Data Loss Prevention, and Cloud Security. Experience toughing DLP and vulnerability management tools is a big plus.
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Should be forward compatible and be able to drive projects with evolving technologies and current trends like Cloud AWS, RedHat BPMS, Big Data Implementations and Analytics tools like Tableau, QlikView, etc.
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They need to have extensive Golang Engineer and would be a big plus if you come from a fintech or streaming company. As a Software engineer you would come in and work on their core platform which extracts stock market data and provides it to the end user.
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Experience building and optimizing data pipelines, including big data tools with Spark, Kafka. Data warehouse with Snowflake. A provider of analytics and software services for the intelligence and defense communities is seeking a Data Engineer.
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At least 5years of professional experience in a Data Engineer position. In summary, this position offer a unique opportunity to shape data-driven transformation. Active government clearance TS/SCI Full-Scope Poly (TS/SCI ci poly preferred.
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Our client in the data finance industry is looking to add a Principle Software Engineer to their growing team. Preferred Streaming or Fintech experience. 7+ years working with Golang. Cloud: AWS or GCP.
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Expertise in one of the following application servers: WebLogic, WebSphere, Jetty etc. Knowledge of microservices architecture, API gateways and container technologies. Proficiency with HTML5, CSS3, JavaScript, Angular and Node JS.
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big data jobs Company: Motion Recruitment
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