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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Your job will be to perform cutting edge data analytics and support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics. Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.
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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. 4+ years of experience with privileged and elevated access using cybersecurity tools, including Trellix Endpoint Security Suite (ESS), or McAfee HBSS, ePO, and FireEye tools, such as MVX, NX, HX, PX, IA, AX, IAS PCAP, or malware or forensics analysis solutions, and Palo Alto Firewalls, ForeScout, ACAS, or Splunk/Cribl.
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Support relevant Navy, Joint, DoD, and/or interagency meetings and working groups that address IAMD, evolving CID / Battle Management (BM) technologies: Big Data, AI, ML, Mission Planning, Battle Management Aids, FFT and IFF Mode 5 capabilities, including program technical and programmatic exchanges such as program reviews, program planning and implementation reviews, milestone decision meetings, Integrated Product Teams, Special Advisory Boards, and off-sites.
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As a Healthcare IT Data Scientist, you will play a vital role in leveraging data analytics and machine learning to drive actionable insights and innovations that enhance patient care, improve healthcare operations, and support strategic decision-making.
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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 Data Skills (Hadoop, Spark, recent deep learning platforms). Deploy and optimize machine learning solutions on massive datasets using big data technologies. As a Data Scientist at HiLabs, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain.
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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. We need a big data experienced professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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Knowledge of big data strategies and implementation. Link data sets from program risk profiles, program baselines, financial and/or grants data, Capital Planning and Investment Control systems, internal review boards, USA Spending, US Census bureau surveys, internal survey data, and other data sets that need to be linked together.
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Utilizing ElasticSearch and other big data technologies like MapReduce, Apache Spark and Scala. Working within an Amazon Web Services (AWS) cloud environment and utilizing tools such as SMS, Data Pipeline, Relational Database (RDS), Cloudwatch, EC2, EBS, S3, KMS, or SMS.
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
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Review organizational programs, documents, reports, and data for policy implications and impacts on the USMS, districts, and the federal detention management system and assist the BIC with reconciling conflicts between policies and program goals.
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big data jobs Title: data scientist Company: Brainstation in Washington, DC
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