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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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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. The ideal candidate will lead the architecture and implementation of on-premises and cloud big data solutions as part of enterprise data modernization.
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Experience with big data technologies such as Hadoop and Spark to efficiently process and analyze massive datasets. As Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Eagle Bank. We are a place where we take pride in our low egos, value curiosity and learning.
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
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Experience with data visualization tools (e.g., Tableau, PowerBI) and big data technologies (Hadoop, Spark). 9+ years of overall experience in the field of data science, with a proven track record in predictive modeling or a similar analytical role.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. Technology Tools: AWS, Open Search and Python Data Science tools.
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Contribute to interpretation of big data and identification of data patterns using Big data tools, such as Hadoop, Apache Spark, Apache Storm, Cassandra and RapidMiner.
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Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter.
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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 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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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Utilize NLP technologies to extract insights from internal data sources, including a mix of structured and unstructured data.
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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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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
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Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities. Data Visualization:Visualization Tools: Libraries like Matplotlib, Seaborn (Python), ggplot2 (R), or tools like Tableau, PowerBI. Data Interpretation: Ability to interpret visualizations and convey findings.
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big data jobs Title: developer Company: Simventions Inc Glassdoor in Arlington, VA
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