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Create and manage Elasticsearch Clusters on premise, including configuration parameters, indexing, search, and query performance tuning, RBAC security governance, and administration.
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DSL-based Search : multiple large-scale Elasticsearch Clusters searched using our Disco Query Language (DQL) You will be a key contributor for our Ediscovery Platform and responsible for both hands-on technical work to improve existing systems as well as guiding long-term enhancement and evolution in this space.
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Hands-on experience in implementing advanced search techniques in Elasticsearch, such as fuzzy searches, phrase queries, and wildcard queries. Implement data retention policies for Elasticsearch indices, including creating and deleting indices based on time-based rules.
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Familiarity constructing ElasticSearch queries Benefits Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients.
$150,000 - $275,000 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
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Hands on Scripting & Programming in Python, Ansible, bash, data parsing (regex) etc. Strong Hands on experience Elastic Stack of tools(Elastic Search, Logstash & Kibana) that monitor and manage critical applications and infrastructure.
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Understanding and hands on in how to move data to Elastic Search index via KDS. AWS Data Engineer (AWS DynamoDB, ElasticSearch,Kinesis) Should have worked on projects that involve storing data in Dynamo DB. Should have.
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Hands on experience with Text Mining and Text Search applications and frameworks like Elasticsearch or Solr or Lucene. Hands on knowledge of numerical computing libraries in Python like Numpy, Scipy and Pandas.
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You will be a key contributor for our Ediscovery Data Platform and responsible for both hands-on technical work to improve existing systems as well as guiding long-term enhancement and evolution in this space.
Full-timeExpandApply NowActive JobUpdated 21 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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Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON/YAML/XML payloads & testing using POSTMAN, etc. Demonstrated proficiency in data ingestion and enrichment from diverse sources, including webhooks and REST APIs, managing JSON/YAML/XML payloads, and conducting testing using tools like POSTMAN.
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Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON/YAML/XML payloads & testing POSTMAN etc. Design and configuration of ETL data pipelines using Elastic Common Schema to onboard application logs and metrics; Configuration of index templates and data life cycle management ILM for data retention.
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Strong hands-on development experience in public cloud environment Familiarity with ML and data analytics Understanding of enterprise data integration and analytical platforms (C3 IoT, Pentaho, Snaplogic.
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Design and configuration of ETL data pipelines using Elastic Common Schema to onboard application logs and metrics; Securing, maintenance, optimization, documentation, and some design and build, Data Analytics & Visualization.
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The successful candidate will play a crucial role in supporting the development and maintenance of systems utilizing Elasticsearch and other big data search technologies. Hands-on experience with AWS Services and Cloud-based development, including EC2, ELB, RDS, S3, and VPC.
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Experience with application onboarding - capturing requirements, understanding data sources, architecture diagrams, application relationships, etc. Design and implement efficient log shipping and data ingestion processes.
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