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RDBMS like Oracle, MySQL or PostgreSQL, NoSQL DBs like MongoDB or Redis and data formats including XML and JSON; Enterprise and Web Search concepts and Search Engines such as Apache Solr, LucidWorks Fusion, or Elastic Search.
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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. 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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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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Prior experience or familiarity with our Big Data Platform is a plus. Experience with configuration management tools (e.g. Git, Nexus, Maven) e.g., JIRA, Confluence, Github Enterprise, etc.) 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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Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora. HBase, Cassandra, MongoDB. Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Strong experience with Linux Server platform Experience solving data engineering problems using technologies such as Spark, Solr. NoSQL database experience (MongoDB/Hadoop/Redis/DynamoDB/Elastic Search.
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Experience working with AWS Cloud at an architect level with the solution focused on data. Design, model and prototype current and future states of the data using AWS compatible solutions.
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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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Must have technologies: Java, Mongo DB, Elastic Search, Solr, Content/Document Management. Nice to haves: integration with Microsoft tools, knowledge of Alfresco Document management, COOP, Large scale database experience include MongoDB, ElasticSearch, Ignite, CockroachDB, percona DB and MySQL.
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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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Job Details 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.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At Enlighten, our team’s unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done—while having the flexibility to work from home when needed to achieve focused results.
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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 2 days ago - UpvoteDownvoteShare Job
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Spark streaming, Kafka, Apache Storm, Flink NoSQL. Java (must), Python, Scala. Job Requirements Qualifications.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Exposure to a variety of data stores and search technologies (e.g. MySQL, RDS, MongoDB, Opensearch, Apache Solr, and/or Algolia) Substantial development and administration experience in search technology (Elasticsearch.
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search data solr mongodb jobs
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