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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. A current Secret level security clearance is a big plus. Experience with configuration management tools (e.g. Git, Nexus, Maven.
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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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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.
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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 using relational databases such as PostgreSQL or MySQL; document databases such as Elasticsearch or Solr; or big data technologies such as Hadoop, Hive, or Spark. The application is a large-scale structured data search and discovery tool running in an AWS environment with broad mission adoption.
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Experience with Lucene based open-source search tools like Solr or ElasticSearch. -Knowledge of big data, batch/streaming analytic methodologies, and MapReduce or Portable MapReduce frameworks.
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You have experience in backend engineering, data infrastructure, search infrastructure or natural language processing/machine learning. You’ll improve search latency and relevancy using large scale data systems and machine learning.
$130,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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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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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. Fidelity Investments – Senior Data Scientist – AI, Machine Learning, Big Data.
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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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Databricks experience is a big plusPython experience is a big plusFamiliarity with Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools.
$170,000 - $220,000 a yearFull-timeExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience querying against different search technologies such as SOLR or Elasticsearch. Experience using big data solutions such as Hadoop, Spark, DynamoDB, Kinesis. Team members work in a multitasking, quick-paced, dynamic, process-improvement environment that requires experience with large-scale (Terabytes) database and application development, large-scale file manipulation, data modeling, data mapping, data testing, and data quality.
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Experience with machine learning/big data at scale (GPU, Docker and Kubernetes) Specific Skillset We're looking to augment our existing team with someone who has deep experience in managing a large Elasticsearch cluster indexing machine learning vectors that power many features in our product including dataset search.
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Experience with distributed databases, NoSQL databases, and full-text search engines (e.g., Elasticsearch, MongoDB, Solr). If you want to learn or use your Big Data experience, then this is for you.
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