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Search tools: Solr, Lucene, Elasticsearch Object-oriented/object function scripting languages: Python, Java, C. AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents) Data streaming systems: Storm, Spark-Streaming, etc.
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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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Search tools Solr, Lucene, Elasticsearch. Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP). Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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DE customizing Hybris E-Commerce suite – Hybris Management console, Product Information Management, Content Catalog Management, Adaptive Search, Product Cockpit, Print Cockpit, Admin Console, Data Modeling, WCMS, Cronjobs, Impex scripts, and Workflow management according to business requirements.
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Experience with API-services, COTS integration, Big Data, and search technologies, including Hadoop, Spark, Solr, Zookeeper, and ElasticSearch. Experience with API-services, COTS integration, Big Data, and search technologies, including Hadoop, Spark, Solr, Zookeeper, and ElasticSearch.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with a wide range of data products, BI tools, and visualization libraries such as Tableau, PowerBI, Jupyter Notebooks, d3js, and Analytics Search Tools such as Elasticsearch, SOLR, Lucene.
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Experience with search architecture tools (ex - Solr, ElasticSearch) Data Science frameworks such as Keras, Tensorflow, or Theano. Our work depends on Software Engineer Senior joining our team to develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning and use the right combination of tools and frameworks to turn a set of data points into objective answers to help senior leadership make informed decisions.
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Big Data Frameworks such as Spark or Hadoop. Experience with JavaScript / Typescript Experience with front end development (ex - Angular 2+, React, HTML, CSS, JQuery) Experience with testing frameworks (ex - Junit, Mockito, Swagger, Postman.
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Experience with developing against search engines, including Solr or Elasticsearch. You’ll coordinate with UI and UX designers and data engineers to create a seamless user experience using JavaScript frameworks like Vue, Angular, and React.
$58,400 - $133,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience with Atlassian suite, including JIRA, Confluence, and Bamboo. Experience with CI/CD, Git, Chef, Splunk, Ansible, Jenkins, Maven, and SonarQube. Translate complex functional and technical requirements into design and configuration of fully-automated DevSecOps scripts to build, test, and deploy applications using a variety of frameworks in client facing engagements.
$60,400 - $137,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Youve 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.
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This role is within the Operations and Maintenance support team to monitor cloud infrastructure, search engine clusters' performance, code ETL and scripts for data management and ingest, import/export data collections, deploy large scale Solr and elasticsearch clusters, data measurement and reporting, track query response times, monitor search performance metrics, troubleshoot data processing issues, implement search logic and data algorithms for processing.
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We ensure that our data storage and retrieval processes are optimized for efficiency by working with Postgres databases and leveraging the capabilities of Solr search platforms. Proficiency in designing and implementing RESTful APIs. Strong experience with relational databases (PostgreSQL) and search platforms (Solr.
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KAFKAc∯*∯ Elastic Search (or any search engine like Solr)d. Mandatory hands on with at least one or SPARK or Elastic Search (preferably SPARK including SPARK Streaming). Experience with architecting and developing enterprise applications that deal with data processing, no front end implementation experience desiredApplicant 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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Elastic Search (any other search engine will work too like Solr and Lucidworks but ElasticSearch is highly preferred over others) Experience with architecture and developing enterprise applications that deal with data processing; no front-end implementation experience desired.
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