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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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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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Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora. Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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As the Data Science Analyst/Engineer, you will be working with the Data Engineering Team responsible for building the Metadata Application Profile (MAP) that aligns attributes from various Data Stores into a Search & Retrieval System, enabling discovery of imagery and data for analysis.
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Utilizing ElasticSearch and other big data technologies like MapReduce, Apache Spark and Scala. The customer's National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, is seeking a Database Developer that is part of an integrated team to create, update, and maintain a federated search and discovery software system to integrate data related to financial information from a variety of data providers within a cloud environment.
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Enterprise search expertise utilizing Apache Solr. ESHRS has established core values where quality is paramount, automation and standardization is appropriately leveraged, learning and collaboration are second nature, working solutions define success and data-driven approaches inform development.
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Basic qualifications: Extensive experience in building scalable distributed search applications using Lucidworks Fusion and Apache Solr Experienced with open-source search technologies that may include Elasticsearch or Lucene.
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Nice to have experience with search engines like Apache Solr or similar. Strong knowledge and understanding of data structures, algorithms, design patterns, concurrency, multi-threading, scalability, fault tolerant designs, enterprise architecture and software engineering principles.
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Spark streaming, Kafka, Apache Storm, Flink NoSQL. Spark streaming, Kafka, Apache Storm, Flink NoSQL. HBase, Cassandra, MongoDB. Java (must), Python, Scala. Job Requirements Qualifications.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with Elasticsearch, Apache Solr, or Apache Lucene. You will work with multiple data technologies (relational, search) and design, populate and query them with data from our game, marketplace, tooling, and underlying blockchain.
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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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Work with the platform team to design and deliver data schema, queries across multiple data technologies (relational, search) to support the needs of Shrapnel’s game and tools. Work with blockchain engineers to facilitate event and state data updates from Shrapnel’s blockchain subnet.
$120,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Search indexing stacks - Elastic Search, Solr / Lucene (nice to have ) The role will involve work on web services, distributed systems, real time data processing pipelines, data mining & search technologies to power experiences on Cloud by building platform to enable the lifecycle of billions of images, documents and other assets in Cloud.
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Experience with Enterprise Search Techologes (Solr, Elasticsearch, Lucene, or others) Strong expertise with Java, Java Frameworks (Spring, JMS), Object-Oriented Design and development principles and Java Application Servers such as WebLogic or Apache Tomcat; and relational databases such as Oracle or DB2.
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