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Understanding of DevSecOps. Experience engineering Cyber Security solutions using structured and unstructured Big Data. Experience engineering Cyber Security solutions using Automation, Augmentation and Artificial Intelligence technologies.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. We are a multi-faceted software development and systems administration team working to build and maintain software applications backed by a self-managed cloud infrastructure (OpenStack) with a true big-data footprint (over 10 petabytes.
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Develop Data Governance Tactics, Techniques and Policies (TTPs) to ensure that CCI EMSO remains ahead of Big Data demand and projects chartered by OUSD (I&S) that support Data Engineering and Science initiatives.
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BlackSky has extensive expertise and capabilities in commercial remote sensing, multi-source analytics, cloud computing, open-source software development, Amazon Web Services, and big data geospatial analytics.
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The ideal candidate will have a strong background in data engineering and be proficient in using Logstash and Databricks for data processing and analytics. Proficiency in Databricks for data analytics, ETL, and data engineering.
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Strong engineering experience with the following core platforms and services:VMware ESXi and vSphereMicrosoft Windows Server and Deployment and AdministrationMicrosoft Windows 10 Deployment and Administration DNS, DFS, and DHCPActive Directory and defining, implementing, and maintaining Group Policy Microsoft SCCM with Operating System Deployment (OSD)Data center networking fundamentals (experience with software defined data center networks a plus.
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Our client seeks a Machine Learning Engineer to provide data science and data engineering services, including developing data models, data ingestion/transformation, analytics, and machine learning.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Leverage your expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC.
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Primary responsibilities for strategy, engineering, design, and innovation of the EMPS and BMS systems within QTS data centers and assisting with any construction/upgrade efforts therein.
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Perform professional geotechnical engineering work including design for tunneling projects, subsurface investigations, soil foundation engineering, settlement analysis, soil erosion, lateral earth pressures, geological hazards, underground water, slope stability, and operations to determine conformance with applicable rules, standards, construction, or operating permits for commercial, industrial, building, environmental, infrastructure, and transportation projects.
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Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure. Master data modeling, develop and optimize queries, tune and scale clusters, prioritizing fast search and analytics at scale.
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Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts. Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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Experience with Big Data technologies (Spark, MongoDB, Hadoop) This is a major system and is supported by an inter-disciplinary set of teams providing full lifecycle software development, cloud, data and systems engineering.
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Familiarity with big data analytics and enterprise data management systems. Enterprise Data Management and Software as a Service: Our data management systems are not just sophisticated; they're, enabling us to display, report, and conduct big data analytics with ease.
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big data engineering jobs Company: Amazon Web Services Aws in Herndon, VA
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