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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Our work depends on a Java Developer joining our team to support a GDIT program that we are the prime on and is located at Annapolis Junction, MD. As a J ava Developer, you will develop highly efficient Microservices on a Linux operating system utilizing Java and Kotlin, for use in Docker/Kubernetes high-volume data-processing applications, while practicing modern Agile methodologies.
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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 list of certifications goes on and on.
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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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Facilitate the use of modern data warehouses and self-service analytics tools. Benefits Summary Top Benefits and Perks: Minimum Qualifications: Education:Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience and education.
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Experience with one or more of the following: Go, Java, Javascript, Kotlin, Python, Typescript, Git/Maven, Docker, framework and workflow process, Linux, JIRA, big data, batch/streaming, Solr, Apache.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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Preference will be given to candidates who are familiar with data governance and data security technology solutions Preferred Qualifications- Certifications such as CIPT, CIPM, CIPP, CISSP, CRISC, etc.
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The candidate will apply advanced machine learning methods, utilizing remote sensing data from NASA and other agencies, and commercial platforms, to support the development of integrated water cycle modeling tools in an open science environment.
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Partner with ADUSA Communications and Commercial Systems & Analytics to drive stakeholder communication and training activities related to the importance of accurate, timely, and complete vendor master data.
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This role will examine industry trends, ticketing purchase history, athletic constituent behavior patterns, media engagement, and historic athletic donation data to drive business performance in the following verticals: Revenue associated with the Premium Seating, Ticketing, and Fundraising.
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This set of features is integrated into a single web UI to speed responsible data science. Immuta's product addresses complex issues within enterprise IT including virtual data integration, data governance, data consumption for analytic purposes, and data scientist collaboration.
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6+ years designing, implementing, and managing cloud big-data architectures (Databricks, Hadoop, EMR, Spark, Redshift etc.) Develop and design complex solutions through collaboration across various data, data-centric applications, and/or Big-Data cloud architectures.
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Today’s dynamic global security threats require solutions both big and small – solutions living within the Northrop Grumman Microelectronics Center (NGMC). Boasting state-of-the-art design capabilities, multiple processing nodes, electrical testing, environmental and QCI screening, and failure analysis, the NGMC is a leader in designing, fabricating, packaging, and delivering discriminating microelectronics to the military, aerospace, and commercial markets.
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10+ years of professional experience in data software development, programming languages and developing with big data technologies. Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks.
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modern big data jobs Title: science in Beltsville, MD
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