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Experience with 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.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Technically Proficient: Deep expertise with both relational and non-relational data stores, Elasticsearch, Cassandra, MySQL, PostgreSQL. Familiarity with JVM-focused tech stacks, particularly server-side Kotlin and gRPC.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
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Dive deep into our unified product catalog and search history data to understand different functional areas, and then use your creativity to produce extraction and classification techniques that improve the quality of client’s discovery solutions.
$55 - $58 an hourFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Nice to haves: integration with Microsoft tools, knowledge of Alfresco Document management, COOP, Large scale database experience include MongoDB, ElasticSearch, Ignite, CockroachDB, percona DB and MySQL.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We're looking for top-notch search engineering talents in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search and multi-modal search.
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Preferred to have experience managing projects related to RDBMS and/or Search technologies, such as: MySQL, PostgreSQL, SQL Server, ElasticSearch, Apache SolR. This role will report to the Director of Cyber Platform Engineering but will commonly have an audience with our Incident Response, Cyber Platform Operations, Cyber Data Engineering, and Cyber Data Science groups.
$103,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Must have technologies: Java, Mongo DB, Elastic Search, Solr, Content/Document Management. The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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In addition, we use ElasticSearch for the search function and a Node.js application to send live data via websockets when needed. The backend uses the Laravel (PHP) framework, which interacts with a MySQL database.
InternExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Persistence: Elasticsearch, Cassandra, SQL data stores, othersEvent Bus: Kafka. DSL-based Search : multiple large-scale Elasticsearch Clusters searched using our Disco Query Language (DQL.
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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.
Full-timeExpandUpdated 7 days ago - UpvoteDownvoteShare Job
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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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Desired Experience Knowledge with the following Big Data technologies: 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.
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Experience with different data storages and search engines such as Redis, ElasticSearch, MySQL, PostgresSQL, MongoDB. Working collaboratively with Product, Design, Data, and our engineering personnel you will drive the success of our products, delivering clean and scalable code.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Big data technologies to include: Data Ingest (JSON, Kafka, Storm, Microservices, Elastic Search), Analytics (HIVE, IMPALA, 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.
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