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As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. We need a data professional 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 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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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Leverage your expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC.
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Understanding of DevSecOps. Experience engineering Cyber Security solutions using structured and unstructured Big Data. Experience engineering Cyber Security solutions using Automation, Augmentation and Artificial Intelligence technologies.
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Element 84 is a woman-owned small business that works with public, private, and non-profit sector clients to develop geospatial data processing pipelines & build software that helps answer big questions about our health, our infrastructure, and our changing planet.
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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 industry's most mission-driven projects. We need a big data 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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Customize and oversee integration tools, warehouses, databases, and analytical systems Advanced experience with databases design for big data, such as management of large data sets, and/or design and implementation of data stores to support analysis and scalable processing and storage for high frequency/high volume 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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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. Experience developing AWS cloud solutions with a specific focus on data services such as S3, RDS, and EMR.
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This is a Cloudera Big Data administrator position and not a developer position. Position Title: Cloudera Big Data administrator. Design and implement big data pipelines and automated data flows using Python/R and NiFi.
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BlackSky has extensive expertise and capabilities in commercial remote sensing, multi-source analytics, cloud computing, open-source software development, Amazon Web Services, and big data geospatial analytics.
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We are a leader in providing software engineering, big data analytics and visualization, artificial intelligence and machine learning solutions, DevSecOps, data center operations support, and cloud migration for our law enforcement and national security customers.
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Experience with "big data" systems or non-traditional databases such as Apache Spark, Hadoop HIVE, Cloudera Impala, Neo4J. Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success.
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We've seen some big changes since our first brick-and-mortar store opened more than half of a century ago. Our family of brands are Williams Sonoma, Williams Sonoma Home, Pottery Barn, Pottery Barn teen, pottery barn kids, Rejuvenation, Mark & Graham, west elm, or Outward.
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big data jobs Company: At T in Vienna, VA
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