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The Lead Data Engineer is 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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Good understanding of landscape of AI solutions - cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing.
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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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Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Proven expertise in AI Services, Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering domains.
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MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex. Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3.
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Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies. Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc.
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Work with big data repositories like SnowFlake, Data Lake and streaming data. 5+ years of experience with event-based data movement, Spark, and Big Data repositories (including Snowflake, data lakes.
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The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra) Experience working with military sea-based sensors and data (e.g. radar, electronic warfare, electro-optical, infrared, sonar, and weapons data.
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Our data engineering team leverages open-source scripting and data visualization tools to wrangle, clean, analyze and display data in decision support tools for senior leaders within the Department of Defense.
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Deliver insights to help our clients turn data into action as a Data Scientist Senior at GDIT. Your work will provide transformative solutions to our clients' big-data obstacles by supporting the ATLAS contract under Department of Homeland Security (DHS) Homeland Security Investigations (HSI) International Operations (IO) programs.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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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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As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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big data jobs Company: Jobs For Humanity in Mclean, VA
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