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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.
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Experience with middleware, big data (Cassandra, Hadoop) and search (SOLR, Elastic) a plus. Experience with middleware, big data (Cassandra, Hadoop) and search (SOLR, Elastic) a plus.
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Experience in 2 or more Databases listed- Oracle, Couch, SOLR, MongoDB, Cassandra, etc. Test Data management, SQL, API, Data Mining, Data Analysis, ETL, Cloud, Elastic Search.
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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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You have professional experience with vector similarity and vector databases and have leveraged IVFPQ, HNSW, or other relevant algorithms and libraries on search platforms at scale. contributor, building new vector search features and fixing intriguing bugs, all while making the code easier to understand.
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Experience with data access optimization for Cassandra, PostgreSQL and Solr/Elastic search and Lucene. Create efficient data messaging and access solutions for Kafka, Cassandra, and PostgreSQL databases.
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We're seeking engineers with fresh ideas spanning information retrieval, distributed computing, large-scale system design, networking and data storage, artificial intelligence, and natural language processing.
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Experience in integrating application with indexed search services such as Elasticsearch, Solr. Experience in designing data streaming and event-based data solutions using Kafka, Kinesis, Flink, Spark or similar frameworks.
$186,850 - $280,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Monitor chats and host working sessions with impacted teams and ensure there is a path forward and active investigation on open data requests. Review the assignments, understand the data requirement and mine the data as per the requirement.
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Responsible for mining specific data from a pool of data and have it validated across applications. Provide effective resolution of incoming data quality requests. Experience in working with Elastic Search administration like Elastic Search Management, Logstash Configuration, Performance Optimization, Monitoring and Alerts.
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Cultivate relationships and engage with new and existing clients to sell our Enterprise Products:Azul Platform CoreandAzul Platform Prime. Work-life balance, remote-first, paid time off, company shutdown, holidays.
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With the Test Data Management team, you will have the opportunity to join a fast-growing team that is embarking on a multi-year implementation as part of an on-going digital modernization effort.
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Previous experience in working with complex data collection and analysis. Mining data from production and loading into test environment. Overall – 3 to 5 years of experience in Product Testing with minimum 2+ years of experience on Test Data management.
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You'll be a full time Elasticsearch contributor, building new vector search features and fixing intriguing bugs, all while making the code easier to understand. Youll work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
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You'll be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. We're looking for a Software Engineer to join the Elasticsearch - Search team.
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