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Data indexing, search, and analytics, i.e., Elasticsearch, Spark, Databricks, Delta Lake. AWS GovCloud tools and technologies including AWS RDS, Lambda, OpenSearch (Elasticsearch), ElasticCashe for managed Redis Cache, ALB for load balancing, EC2, S3, Elemental MediaConvert, SSO, EventBridge, MSK for managed Kafka, KMS.
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Experience with 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.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Elasticsearch and Kibana or similar visualization tools for search and indexing of data. Azure DevOps or similar CI/CD tools for deployment and management of the application.
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Worked with elements in our tech stack:Product: React, Typescript, NextJS, Java Infrastructure: Fargate on AWS, Docker on-prem Data: Postgres, Elasticsearch DevOps: AWS VPCs. Experience building data-intensive applications, such as NLP, search and indexing, and data processing.
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Understanding of database design concepts (Pluggable DB's) and data modeling for relational or nonrelational databases such as RDBMS (Oracle/Postgres), No SQL (MongoDB, Cassandra) or NewSql (Cockroach DB) and search DB's like Elasticsearch incorporating multi-master across multi-regions.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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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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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Nice to haves: integration with Microsoft tools, knowledge of Alfresco Document management, COOP, Large scale database experience include MongoDB, ElasticSearch, Ignite, CockroachDB, percona DB and MySQL.
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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. Microservices architectures, Cloud-Native architectures, Event-driven architectures, APIs, Domain Driven Design, Public Cloud (AWS), Serverless, Kubernetes, Docker, DevOps, building scalable, reliable, available solutions, and Performance testing.
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Must have technologies: Java, Mongo DB, Elastic Search, Solr, Content/Document Management. General nice to have Docker and other CICD/DevOps, AWS or delivery frameworks. The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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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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Strong architecture, design, and implementation experience with the following: Microservices architectures, Cloud-Native architectures, Event-driven architectures, APIs, Domain Driven Design, Public Cloud (AWS), Serverless, Kubernetes, Docker, DevOps, building scalable, reliable, available solutions, and Performance testing.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Use Elasticsearch to search, analyze, and visualize data in real-time. Strong experience with DevOps, Elasticsearch, Linux, PostgreSQL, Python, and Bash. Use PostgreSQL to ensure data remains consistent across the database.
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Work closely with the DevOps team to automate and streamline our operations and processes. Opportunity to work on search and AI projects using cutting edge technologies. Develop and maintain data models, database schemas, data structures, and procedures.
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Skills with implementing and customizing ElasticSearch for text search use cases. Experience with CI/CD tools (e.g. Azure DevOps, Jenkins) Experience with natural language processing (NLP) or other techniques to extract value out of unstructured data.
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