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Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka. Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
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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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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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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query). Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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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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3+ years of experience with designing, developing, implementing, and maintaining solutions for Big Data or data warehouse system. Data Engineering experience focused on batch and real-time data pipelines development, Data processing/data transformation using ETL tools such as databricks.
$76,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Big data technologies may include—but are not limited to—Hadoop, Hive, Pig, Spark, relational databases, and NoSQL. Strong desire and ability to learn new big data and machine learning technologies.
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Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
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Our work depends on a Data Quality Analyst - Personal Security joining our highly skilled team to be a premier provider of cyber security services to the customer. Seize your opportunity to make a personal impact as a Data Quality Analyst - Personal Security supporting customer activities.
$161,500 - $218,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big data tools: Hadoop, Spark, Kafka, etc. + Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores. + Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP.
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Summary Work with large data sets to better understand the changing worldwide geopolitical and tactical level military landscape. Conduct extensive collections and analytic modeling, data processing, data mining, and visualization.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
$131,500 - $219,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Job Description Seize your opportunity to make a personal impact as a Data Quality Analyst - Personal Security supporting customer activities. As a Data Quality Analyst - Personal Security, you will help ensure today is safe and tomorrow is smarter.
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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big data jobs Title: data scientist applied in Washington, DC
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