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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 6 days ago - UpvoteDownvoteShare Job
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We are the backend data engineering team for the eBay search engine. Experience with Big Data technologies like Hadoop, Spark, Flink and Kafka. Search Data Engineering is a backend platform with pipelines for acquiring, transforming, annotating & storing inventory data, and aggregating dynamic demand, performance and pricing intelligence for eBay inventory to power search ranking and experiences.
$135,200 - $205,700Full-timeExpandUpdated 12 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.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Big Data, AWS, Kibana, Observability, APM, Search, Distributed, Lucene, Database, Open Source, Cloud, SIEM, Security, Logging, Analytics, Elasticsearch, App Search, Site Search, Enterprise Search, and ELK.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop. Net, Python; Data Technologies: Oracle, Cassandra, Elastic Search, Aurora, NiFi, Cribl.io LogStream, Splunk, Hadoop, Tensorflow, Jupyter.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We're looking for software engineers that have experience in languages like Java, Ruby and Python and are interested in working in domains like big data analytics, search and discovery, and machine learning/NLP. In selecting projects, we look for challenging, mission-focused work where our teams can make a significant difference.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Familiarity with Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools. Databricks experience is a big plus. Collaborate closely with product teams, data engineers and other teams internal and external teams to translate business requirements into robust technical solutions.
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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.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Docker, python, Bash, CI/CD Tools, Gitlab, DevSecOps, Linux, Kafka, Big Data, Elastic search. Assist in the maintenance of services and procedures for a big data pipeline which includes Kafka, Elasticsearch, and several in house written python/java micro services running on Kubernetes.
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Previous experience with BDP (Big Data Platform) is a plus. 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.
Full-timeExpandUpdated 14 days ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandUpdated 8 days ago - UpvoteDownvoteShare Job
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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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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.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 12 days ago
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