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Extensive experience in building scalable distributed search applications using Lucidworks Fusion and Apache Solr. 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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Expertise with Search engine optimization, mapping user journeys, search relevancy and high availability architecture. Understanding of enterprise data integration and analytical platforms (C3 IoT, Pentaho, Snaplogic.
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Enterprise and Web Search concepts and Search Engines such as Apache Solr, LucidWorks Fusion, or Elastic Search; Development tools including build tools such as Ant or Maven, IDEs such as Eclipse, source control tools such as Git, Perforce or Subversion and SQL tools such as Oracle Developer.
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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.
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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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NET, XML, JSP, ASP.net, IIS, COBOL, 4GL, HTML or SharePoint, ATG, Documentum, Search Engines as SOLR, Autonomy, Oracle, SQL Server, etc. Provides complex database query skills such as SSIS, SRS, Stored Procedures or other complex queries to provide technical and business teams with requested data.
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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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Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc. and experience with data formats like json, csv, xml.
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Test Data management, SQL, API, Data Mining, Data Analysis, ETL, Cloud, Elastic Search. Excellent SQL skills with experience of analyzing and visualizing large data set and automation processes.
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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 Strong understanding of Agile SDLC implementation in public cloud eco-system including environments management, test automation, peer review, CI/CD, resource optimization, etc.
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Experience with data intensive analytical solutions leverages relational (Redshift, Oracle), non-relational (Postgres, Aurora, Graph databases) and search-based data platforms (SOLR, Open Search.
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Spark streaming, Kafka, Apache Storm, Flink NoSQL. HBase, Cassandra, MongoDB. Java (must), Python, Scala. Job Requirements Qualifications.
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Designing and testing Relational Database Management Systems including HANA, DB2, MySQL, Kafka Queues, Solr, Elastic Search, SQL and NOSQL. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
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Exposure to a variety of data stores and search technologies (e.g. MySQL, RDS, MongoDB, Prior experience with Python, SQL, and/or GraphQL. Opensearch, Apache Solr, and/or Algolia.
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To integrate the Solr search platform with AEM Adobe Sites including search pages with multiple search filters and criteria, indexing content, boosting result ranking, multi-language support, geographic location data, signal ranking, natural language, knowledge graph answers, extractive answers, and Large Language Models and Google BERT (Bidirectional Encoder Representations for Transformers.
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