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Demonstrated experience working with big data processing and NoSQL databases such as MongoDB, ElasticSearch, MapReduce, and HBase. Demonstrated experience designing, developing, querying, and maintaining ElasticSearch and related technologies.
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Experience working with large scale data technologies (e.g. AWS Aurora, Elasticsearch,etc.) Experienceworking with DevOps CI/CD related technologies and deploymentautomation techniques (e.g. Ansible, Git, Jenkins, Puppet, Docker,Confluence, Sonar Lint, and Junit.
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Big Data Technologies: Spark, Elasticsearch, Hadoop, Neo4j. Full-stack web frameworks: Django, Python, Flask. You will support the National Geospatial-Intelligence Agency (NGA) to process ETL on new and varied data sets, and work with Big Data at scale, using Spark/PySpark to handle petabytes of data.
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Experience with networking, Redis, Kafka, Grafana, ELK stack (Elasticsearch, Logstash, Kibana) Familiarity with Elasticsearch and/or Postgres. Experience with networking, Redis, Kafka, Grafana, ELK stack (Elasticsearch, Logstash, Kibana.
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Experience with Keycloak for identity and access management, Elasticsearch for search and analytics, and Docker/Docker Compose for containerization and deployment is a plus. This role requires strong technical skills in Java with Spring Boot, TypeScript with React+Redux, Hbase, Solr, JanusGraph, NiFi, Postgres/PostgreSQL, Ansible, Linux (RHEL), Python, and multithreading.
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Experience with: Docker, Hadoop, Spark, Kafka, NiFi, ElasticSearch / Kibana. Experience with: Docker, Hadoop, Spark, Kafka, NiFi, ElasticSearch / Kibana. At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people.
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Design and develop utilities to transform, enhance, and clean-up data in preparation for loading to target data-lake such a Redshift, Iceberg or Elasticsearch. Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake.
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Experience with ElasticSearch. Our support team applies best practices in architecture design, data science, cloud services, DevSecOps and platform integration to develop, sustain and continually evolve the global U.S. human intelligence apparatus and supporting partners.
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Demonstrated experience comprehending database methodologies such as strong SQL query or Elasticsearch experience. Demonstrated experience with data visualization and data validation routines for large size information systems.
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Develop and oversee methodologies for text data extraction, processing, and analysis, utilizing technologies such as Elasticsearch, Solr, or custom NLP tools. Hands-on experience with NLP, Elasticsearch, Solr, or similar technologies tailored for text data management and analysis.
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Experience with Node.js, Typescript, React, and Elasticsearch is a plus. 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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Big data technologies to include Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium size government contractors, and we help leading venture capital firms find talent for their portfolio companies.
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Experience working with large scale data technologies (e.g. AWS Aurora, Hadoop, Elasticsearch, etc.) Experience working with large scale data technologies (e.g. AWS Aurora, Hadoop, Elasticsearch, etc.
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NiFi, HA Proxy, Docker, Kubernetes, Spark, and Elasticsearch experience. NiFi, HA Proxy, Docker, Kubernetes, Spark, and Elasticsearch experience. Some of the work we will do is brand new Big Data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics, while other work will be refining and improving legacy development, as well as providing operations and maintenance.
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elasticsearch job in Chantilly, VA
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