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You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
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Search tools: Solr, Lucene, Elasticsearch Object-oriented/object function scripting languages: Python, Java, C. AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents) Data streaming systems: Storm, Spark-Streaming, etc.
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You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas. We're looking for a Senior Software Engineer to join the Elasticsearch - Search Foundations team.
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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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Demonstrated hands-on experience developing Applications using the following technologies or something similar: SOLR, Elastic, Postgres, Java, Scala, RDS or spring boot. 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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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.
$146,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with other search technologies and frameworks such as Solr, Lucene, or Apache Kafka. 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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Experience with data intensive analytical solutions leverages relational (Redshift, Oracle), non-relational (Postgres, Aurora, Graph databases) and search-based data platforms (SOLR, Open Search.
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In-depth knowledge of at least one search engine (Elasticsearch, Solr, Vespa. Iterate and optimize for our improving platform KPIs (Key Performance Indicators), driving reliability, stability, low latency, and cost efficiency across search API & indexing systems, ML infrastructure, and search data platforms.
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Search engine concepts like Apache SOLR, Elastic search. We offer challenging opportunities in front-end and back-end web application development, UX design, project management, business analysis, business intelligence, big data, and more.
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Enterprise and Web Search concepts and Search Engines such as Apache Solr, LucidWorks Fusion, or Elastic Search; RDBMS like Oracle, MySQL or PostgreSQL, NoSQL DBs like MongoDB or Redis and data formats including XML and JSON.
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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 in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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At least 5 years of experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) and a Bachelors in related field; 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience.
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Subject to change)DESIRED QUALIFICATIONS:Experience in cloud-based technologies (AWS, Azure)Experience in distributed databases, NoSQL databases, full-text-search engines (e.g. Elasticsearch, MongoDB, Solr) Scripting experience is a huge plus.
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