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Experience with open source textual processing such as Lucene, Sphinx, Nutch or Solr. Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc. Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
$146,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Extensive experience in building scalable distributed search applications using Lucidworks Fusion and Apache Solr. Expertise with Search engine optimization, mapping user journeys, search relevancy and high availability architecture.
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In-depth understanding and experience in two or more of the following: complex e-commerce applications, massive real-time event and message processing, data lakes, Big Data transformations and analytics, IoT edge and cloud data processing, SQL and NoSQL data modeling.
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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.
$130,000 - $270,000 a yearExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Enterprise and Web Search concepts and Search Engines such as Apache Solr, LucidWorks Fusion, or Elastic Search; RDBMS like Oracle, MySQL or PostgreSQL, NoSQL DBs like MongoDB or Redis and data formats including XML and JSON.
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In depth knowledge of DataStax Solr search and tuning. 5 plus years of experience in Database Management / Data Integration. Strong DataStax architecture knowledge including conceptual, logical and physical data modeling.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, Jupyter Notebook etc. Experience with Kafka Streaming and Spark Streaming o Being able to discuss the flow of the process and get into the technical weeds o Discussing experience with APIs in depth (How do you ensure the API's fail gracefully) o Being able to handle or understanding how to work with large amounts of data.
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Extensive hands-on experience with NoSQL (e.g. Mongo, Cassandra), Kafka, search engines (e.g. Solr, Elastic), cache (e.g. Redis, Memcached), and other data sources. Ability to do production issues debugging using logs (e.g. Splunk), monitoring metrics (e.g. Prometheus), data sources, and knowledge of the application business logic.
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The Solr Administrator will be responsible for the administration, configuration, optimization, and maintenance of our Solr search platform. Implement security measures to protect Solr instances from unauthorized access and data breaches.
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You have experience with search engines such as Solr, Lucene or ElasticSearch. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
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Should have 5 years of experience in implementing Search Technologies Lucene, Elastic & SOLR. Hands-on experience in implementing advanced search techniques in Elasticsearch, such as fuzzy searches, phrase queries, and wildcard queries.
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Systems troubleshooting including hardware and software, Linux, Analysis capabilities, Communications, Java/ Scripting in ruby/python/bash, SOP development, Familiarity with: Rancher, Ansible, Elastic Search, Redis, Solr, Data Flow, Docker and Kubernetes.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 8 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.
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Search tools: Solr, Lucene, Elasticsearch. Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.
ExpandApply NowActive JobUpdated 8 days ago
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