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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Experience with cloud platforms (e.g., AWS) and big data technologies (e.g., Databricks, Spark) Proven experience as an ETL Developer or Data Engineer, with a strong understanding of data warehousing concepts and ETL tools.
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Technical understanding of big data concepts, cloud technologies such as AWS, Hadoop, and strong trouble shooting skills. , Required Skills Active TS/SCI clearance with polygraph Experience in troubleshooting complex data analytic systems.
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The following functions are the responsibility of the Senior Informatica Big Data Developer. Remote Senior Informatica Big Data Developer. Role Title: Senior Informatica Big Data Developer.
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It would be beneficial if the applicant is skilled in the application of Apache Spark, NoSQL databases, Hadoop, and other big data technologies. Experience in software development and management of software systems and experience working with data to include: API documentation, Amazon Web Services (AWS) and AWS-driven enterprise architecture (Elastic Search, S3, EC2, Lambda, SNS, SQS, etc.
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Java, J2EE, Hadoop, MapReduce, PIG, NoSQL, ANT, AXIS, EJB, Javascript, JAXP, JDBC ,Oracle, PL/SQL, Unix Scripts, XML, HTML, Struts, Servlets, Eclipse IDE, Weblogic, Web services, RESTful , SOAP, Ruby, Ruby on Rails, Python, Perl, Groovy, Flex, Cognos, Hibernate, MySQL, jQuery, Linux, Solaris, Unix etc, Apple programming environment, Objective-C, iOS, Xcode, CSS, wireless technologies for tablets and smartphones, Amazon Web Services, Cloud, Enterprise Engineering, Big Data etc.
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Qualified candidates will have experience with Machine Learning and development working with Python, Databricks, PySpark and big data technologies. Work as part of a collaborative team supporting back-end development for a big data environment.
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Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. To learn more about Mission Technologies, click here for a short video: Summary HII-Mission Technologies is seeking a skilled Curriculum Developer/Instructor with DOD experience, supporting the Defense Institute of International Legal Studies (DIILS.
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GA is seeking a Senior Front-End Developer to join GA's Development team and build the next generation of data analysis infrastructure and tools in the political space. Grassroots Analytics ("GA") maintains a detailed database on more than 20 million active American donors, including data on net worth, ideological preferences, political donation history, non-profit donation history, demographics, and contact information.
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Develop and provide Business Intelligence and Big Data Analytics solutions, including dashboards and visualizations using Qlik Sense. Perform data transformation and create Qlik View Data (QVD) files and set analysis.
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Big data concepts and technologies, such as: Apache Hadoop, Apache Hive, Solr, Cloudera, MapReduce, R, Spark, Kafka, NiFi, and the ELK (ElasticSearch, Logstash, Kibana) stack. As an Applications Developer for CIA, you will analyze, develop and deploy innovative information/software systems and capabilities to enhance the CIA's capabilities to collect, produce, and disseminate intelligence.
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Design, development, implementation, and maintenance of enterprise level, multitenant, big data analysis application: Full Stack Software Development (Java, Spring, JavaScript, React/Angular, REST/APIs, HTML5, CSS, Hibernate, etc.
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The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
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Scala Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. Familiarity with data visualization tools such as Tableau or Power BI.
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Consulting with data management teams to get a big-picture idea of the company's data storage needs. Designing and coding the data warehousing system to desired company specifications.
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big data jobs Title: developer in Arlington, VA
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