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INTRODUCTION: The Customer's office is looking for an individual to compliment the team with Elasticsearch and other big data search and exploitation skills. Support transition of a Java/Springboot application, interfacing with an Elasticsearch data tier, to the next generation Python-based solution.
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The customer is seeking an individual with Elasticsearch and big data search skills to support the development and maintenance of a Java/Springboot application interfacing with an Elasticsearch data tier and the transition to a Python-based solution.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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This role is within the Operations and Maintenance support team to monitor cloud infrastructure, search engine clusters' performance, code ETL and scripts for data management and ingest, import/export data collections, deploy large scale Solr and elasticsearch clusters, data measurement and reporting, track query response times, monitor search performance metrics, troubleshoot data processing issues, implement search logic and data algorithms for processing.
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We're looking for a top-notch search engineering leadership 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 search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company.
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Demonstrated experience with Springboot 2.79, Java 11.17, JPA, or Elasticsearch Java API Client. Demonstrated experience developing solutions with Elasticsearch. Maintain the legacy search environment until such time that it can be retired.
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Role: Use Elasticsearch, big data search and exploitation skills. Assisting migration from Java/Springboot application, interfacing with an Elasticsearch data tier, to next generation Python-based solution.
$150,000 - $250,000ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Deep familiarity with one or more of the following areas at scale: Lucene-based search systems (ElasticSearch or Solr), search ranking and retrieval, data science, or information taxonomy.
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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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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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Basic qualifications: Extensive experience in building scalable distributed search applications using Lucidworks Fusion and Apache Solr Experienced with open-source search technologies that may include Elasticsearch or Lucene.
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Knowledge of search technologies such as ElasticSearch, Apache Solr, or OpenSearch. 3+ years of professional experience as a Data Engineer. You will also collaborate with data scientists and medical experts to help streamline product development efforts, while troubleshooting technical issues and documenting processes.
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As a full-service search firm, we partner with companies across industries, including Financial Services, Fintech, Consumer Goods and Services, Security and Logistics, Pharmaceutical / Biotech, Technology, Automotive, Engineering, and Healthcare.
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The OpenSearch team is, among other things, focused on creating the best enterprise automation solution for search and analytics suites like OpenSearch and Elasticsearch. Experience operating and managing search and analytics engines like Elasticsearch, Logstash, KIbana, and OpenSearch.
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Experience with a wide range of data products, BI tools, and visualization libraries such as Tableau, PowerBI, Jupyter Notebooks, d3js, and Analytics Search Tools such as Elasticsearch, SOLR, Lucene.
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Create and manage Elasticsearch Clusters on premise, including configuration parameters, indexing, search, and query performance tuning, RBAC security governance, and administration. Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON/YAML/XML payloads & testing POSTMAN, etc.
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