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Using tools such as Apache Tomcat, Hadoop, SOLR, JDBC, ANT, Active Directory, LDAP, Regex, SQL, or JSON. ETL developer with Elasticsearch/Apache Spark/Scala experience. Utilizing ElasticSearch and other big data technologies like MapReduce, Apache Spark and Scala.
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Search tools: Solr, Lucene, Elasticsearch. Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents.
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Experience with database design and development (e.g., SQL, NoSQL), and familiarity with search technologies (e.g., Elasticsearch, Solr). Experience with front-end technologies (HTML5, CSS3, JavaScript/TypeScript) and frameworks (Angular, React, Vue.js.
$108,550 - $196,225 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps , and integration capabilities. Data pipeline and workflow management tools: Airflow, NiFi , etc.
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Proficiency in a wide range of government-specified technologies, including front-end frameworks (JavaScript, Angular), markup and styling languages (HTML, CSS), data interchange formats (XML, JSON), and back-end technologies (Oracle, PostgreSQL, MongoDB, Redis, Elasticsearch, Solr, SQL, Node.js with TypeScript.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Leverage your expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC. Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch.
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Environment Chromium, JavaScript, NodeJS, Celerity, Cucumber, Jetty, Oracle, Red Hat Linux, WebLogic/Tomcat, Apache, WCMS, API, SOLR, naVizin, Flash, Java, SVG, IIS, Linux, Adobe Captivate, HTML, PDF, COTS, Spring, Spring MVC, JDBC, CSS, Bootstrap, Thyme leaf, Restful webservice, Junit, Mockito, jQuery, EAG, Perl, Korn shell scripts, Google API, AWS Services, Python, Lambda, Aurora/PostgreSQL, Selenium, Ruby, Angular, Jenkins.
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You've 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. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
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Experience with Cloudera's CDH/CDP stack (e.g. HDFS, Nifi, Solr) Cloudera usage, including Kafka topic creation/management, Zookeeper, Solr, and Flume. Works in a critical role with design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client's mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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Support integration with other technologies such as Akamai Content Delivery Network (CDN) and cloud search solutions (e.g. Google Search Appliance, Solr, Elastic Search) VTC: H.320, H.323, Polycom MCU, Polycom, Tandberg, Cisco Telepresence.
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Using state of art technologies that include Java, JavaScript, Groovy, Python, Solr, Splunk, SpringBoot Microservices, Linux, Docker, Kubernetes, Prometheus, Grafana, Node.js, Jenkins, Maven, Gitlab, NPM, Webpack, Nexus, Ansible, TDD, BDD, JMeter, Selenium and other open-source frameworks.
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Utilize automation and configuration management tools (e.g., Ansible, Puppet, Chef, or Terraform) to streamline the setup, configuration, and management of infrastructure and applications, ensuring consistent and repeatable processes.
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We're looking for a Software Engineer to join the Elasticsearch - Analytics and Geo team. This globally-distributed team of senior engineers is responsible for building new analytics and geospatial capabilities in Elasticsearch, profiling and optimizing existing functionalities, analyzing runtime and edge-case behaviors of distributed algorithms, and innovating new ways to store and analyze data in Elasticsearch.
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Big data concepts and technologies, such as: Apache Hadoop, Apache Hive, Solr, Cloudera, MapReduce, R, Spark, Kafka, NiFi, and the ELK (ElasticSearch, Logstash, Kibana) stackDevOps concepts and tools, such as: GitHub, JIRA, Maven, Jenkins, Chef, Ansible, Docker, ELK stack, Nexus, NagiosDatabase platforms, such as: Oracle, MySQL, NoSQL, Mongo DB, HDFSProgramming languages, and related web technologies, such as: Java, Javascript, Python, C#, C.
$69,287 - $172,075 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Enterprise Search Application development (Elastic, Solr), including data mappings and data pipeline management. The following individual certifications cover both certification requirements for this program: CompTIA Cybersecurity Analyst, CySA+; EC-Council Certified Network Defender (CND); GlAC Global Industrial Cyber Security Professional, GICSP; (ISC)2 System Security Certified Practitioner (SCCP.
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solr job in Mclean, VA
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