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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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Experience with open source textual processing such as Lucene, Sphinx, Nutch or Solr. Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc. Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The Sponsor requires project management and technical support to manage projects and to perform software development activities within budget in the areas of enabling search against structured and unstructured data sets, coordinating and collaborating on documents across the organization, leveraging machine language to discover content that would otherwise be missed via Boolean, and incorporating artificial intelligence to do predictive analysis and make recommendations based on historical data.
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Job Summary The Sponsor's office provides knowledge management and data services to enable search and discovery, as well as improve collaboration across the organization. Demonstrated hands-on experience developing Applications using the following technologies or something similar: SOLR, Elastic, Postgres, Java, Scala, RDS or spring boot.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience using computer languages (e.g. Python, R, Pig, Java, C, SQL) to perform large scale parallel processing of data. As a Data Scientist , you will be responsible for creating, updating, and maintaining a federated search and discovery software system to integrate data related to financial information from a variety of data providers within a cloud environment in support of the mission.
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The successful candidate will play a crucial role in supporting the development and maintenance of systems utilizing Elasticsearch and other big data search technologies. We are seeking a skilled Big Data Search and Exploitation Engineer to join our client's team.
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Strong Java, Spring framework, Kafka, SQL and cloud experience such as Azure.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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DATA SCIENTIST CLEARANCE REQUIRED U.S. Citizenship with a current or active TS/SCI with Full Polygraph JOB DESCRIPTION We have an opening for a Data Scientist to join our team of qualified, diverse individuals to assist t he Sponsor's mission in providing cutting edge language training to enable the Sponsor's employees to be proficient in a wide range of languages.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST. Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar.
$146,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The application is a large-scale structured data search and discovery tool running in an AWS environment with broad mission adoption. 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.
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Demonstrated experience with Linux, Java, Spring Boot, Elastic Search, Mongo, HBase, Gradle, Avro, Parquet, Git, Relational DBs, Terraform, Splunk Demonstrated experience working with data Management/ Data Catalog implementation Demonstrated use of Amazon Web Services such as S3, RDS, CloudWatch, and EC2.
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Assisting migration from Java/Springboot application, interfacing with an Elasticsearch data tier, to next generation Python-based solution. Use Elasticsearch, big data search and exploitation skills.
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With your help, we will modernize the data lake with new access patterns and services to include AI/ML enrichment, ETL and modeling, search, and dissemination, all via an event-driven architecture.
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The Senior Software Engineer will assist the customer with efficiently transforming data from existing databases into Apache Solr inverted indices using Java programming, data engineering technologies, and other open-source third-party tools.
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Joining our team as a Data Scientist specializing in Elasticsearch optimization offers a unique opportunity to work with leading-edge technologies and collaborate with clients to drive tangible improvements in search performance and accuracy.
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