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Hands-on experience in implementing advanced search techniques in Elasticsearch, such as fuzzy searches, phrase queries, and wildcard queries. Should have 5 years of experience in implementing Search Technologies Lucene, Elastic & SOLR.
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Mandatory hands on with at least one or SPARK or Elastic Search (preferably SPARK including SPARK Streaming). Elastic Search (or any search engine like Solr.
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Applicant should be able to set up the tech stack locally, think through the solution options specifically from a faster data processing standpoint and guide a set of developers on low level design.
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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. Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few.
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Hands-on experience with search engine technologies (e.g., Apache Solr, ElasticSearch, Vespa, FAST, or Lucene) or a demonstrated interest in learning. Collaborate with colleagues on production search systems, and write, test, and maintain production quality code.
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Developing distributed computing Big Data applications using Spark, Elastic Search on HDP Hadoop. Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc.
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Previous experience working on search backends or improving search user experience (e.g., through relevance, recommendations, or question answering) You will work with us on building technologies and tools to make search on our platforms more accurate and more relevant, thus helping our clients to find the information and functionalities they need.
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Expert in implementing and troubleshooting Hive, Pig, Storm, Kafka, Nifi, Elastic Search, Solr, HBase applications. Have hands-on experience in working with Hadoop distribution platforms like Hortonworks, Cloudera, and others.
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And experience with data formats like json, csv, xml. Designing and coding hadoop applications to analyze data collections. Experience working with Hadoop/Big Data and Distributed Systems.
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Experience with search engines, such as Solr and Elasticsearch. 5 years of hands-on software development experience, using C#, SQL and Javascript/Typescript. 10+ years of hands-on software development experience, using C#, SQL and Javascript/Typescript.
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Demonstrated hands-on experience developing Applications using the following technologies or something similar: SOLR, Elastic, Postgres, Java, Scala, RDS or spring boot. The Sponsor requires project management and technical support to manage projects and to perform software development activities within budget in the areas of enabling search against structured and unstructured data sets, coordinating and collaborating on documents across the organization, leveraging machine language to discover content that would otherwise be missed via Boolean, and incorporating artificial intelligence to do predictive analysis and make recommendations based on historical data.
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Hands-On experience with working open-source search engines Elasticsearch or Solr. Drupal Solutions Architect with 10 years of experience that includes hands-on software engineering activities, such as testing, integration, DevSecOps or software architecture.
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Hands on experience with DSE Cassandra and Solr. Proficient with installation/configuration/oversight of DataStax Enterprise, Cassandra, and Solr Search as well as work closely with the custom software support team.
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Experience with complex search and data ingestion pipelines with specific knowledge of Apache Solr and Streaming Technologies. Hands on experience with various database technologies (i.e., MS SQL, Oracle, PostgreSQL, MongoDB, HBase, Cassandra.
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Demonstrated hands-on experience working with DevOps tools such as Git, Jenkins, or Nexus. Demonstrated hands-on experience working with relational and non-relational database systems such as Amazon RDS, DynamoDB, and Postgres.
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