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Worked with elements in our tech stack:Product: React, Typescript, NextJS, Java Infrastructure: Fargate on AWS, Docker on-prem Data: Postgres, Elasticsearch DevOps: AWS VPCs. Experience building data-intensive applications, such as NLP, search and indexing, and data processing.
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Full text indexing and searching technologies such as Lucene and ElasticSearch, tuning indexing and searching for search relevancy and accuracy; using data mining and machine learning tools and algorithms.
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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. We're looking for a Senior Software Engineer to join the Elasticsearch - Search Foundations team.
$126,800 - $240,800 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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DSL-based Search : multiple large-scale Elasticsearch Clusters searched using our Disco Query Language (DQL), Vector Search. Persistence: Elasticsearch, Cassandra, SQL data stores, others.
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This is a senior software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.
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This is a principal software engineering role that covers leading significant initiatives in the core search areas of Elasticsearch, the design and implementation of new features, enhancements to existing features, and resolving bugs.
$126,800 - $240,800 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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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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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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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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Support transition of a Java/Springboot application, interfacing with an Elasticsearch data tier, to the next generation Python-based solution. INTRODUCTION: The Customer's office is looking for an individual to compliment the team with Elasticsearch and other big data search and exploitation skills.
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9 years experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) Bachelors in related field; 7 years relevant experience with Masters in related field; or High School Diploma or equivalent and 13 years relevant experience.
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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.
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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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Assisting migration from Java/Springboot application, interfacing with an Elasticsearch data tier, to next generation Python-based solution. Role: Use Elasticsearch, big data search and exploitation skills.
$150,000 - $250,000ExpandApply NowActive JobUpdated 4 days ago
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