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Big data technologies to include: Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
$190,000 a yearExpandUpdated Today - UpvoteDownvoteShare Job
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Correcting program errors, compiling documentation of program development, and analyzing system capabilities to resolve questions of program intent, output requirements, input data acquisition, programming techniques, and controls.
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Demonstrated experience with search architecture and data visualization tools (ex - ElasticSearch, OmniSci) Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano.
$149,500 a yearFull-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Skills with implementing and customizing ElasticSearch for text search use cases. Experience with natural language processing (NLP) or other techniques to extract value out of unstructured data.
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Experience with Enterprise Search Technologies (Solr, Elasticsearch, Lucene, or others). Experience with querying various databases (Oracle, SQL Server, MariaDB) using a variety of means (command line clients, desktop clients, code) to analyze data and deduce missing or erroneous information.
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Experience with Enterprise Search Techologes (Solr, Elasticsearch, Lucene, or others) The senior developer will use Java, SQL, and Oracle to design, develop, test, and maintain data services (SOAP/REST.
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Experience using relational databases such as PostgreSQL or MySQL; document databases such as Elasticsearch or Solr; or big data technologies such as Hadoop, Hive, or Spark. The application is a large-scale structured data search and discovery tool running in an AWS environment with broad mission adoption.
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Experience with distributed computing technologies including Hadoop, HBase, Cassandra, Elasticsearch and Apache Spark a plus. Hands-on experience working with Elastic Search, Mongo DB, Node, Hadoop, Map Reduce, Spark, Rabbit MQ, and NiFi.
Full-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Or similar Administration experience with ELK Stack - Elasticsearch (search and analytics engine), Logstash (ingest pipeline) and Kibana (visualization and creating dashboards). Or similar Log Management experience with ELK Stack - Elasticsearch (search and analytics engine), Logstash (ingest pipeline), and Kibana (visualization and creating dashboards.
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Enrich data using runtime fields and Elasticsearch scripting Design and write search queries for data aggregations, across clusters and using runtime fields. Design and develop code modules using Elastic API to ingest data, configure indices, build dashboards and to perform advanced search queries.
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Hands-on experience working with Elastic Search, Mongo DB, Node, Hadoop, Map Reduce, Spark, Rabbit MQ, NiFi and Docker. The ideal candidate is a hands-on developer with significant experience in developing scalable data platforms.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Experience with search architecture tools (ex - Solr, ElasticSearch) Data Science frameworks such as Keras, Tensorflow, or Theano. Deliver insights to help our clients turn data into action as a Data Engineer Senior at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission.
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Work with data sources and ETL processes to integrate and normalize data into Elasticsearch, ensuring data quality and consistency. The ideal candidate will have experience working with Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats) to develop, manage, and support scalable search and analytics solutions.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Demonstrated experience with backend database and search systems such as Elasticsearch, JanusGraph, DataStax Graph, PostgreSQL, Mysql/MariaDB, SQLite. These include complex in-person data engineering and data science tasks with minimal or no access to online reference materials, providing engineering design and implementation of data triage capabilities, and providing technical expertise to support the development of the overarching data acquisition and exploitation strategy.
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