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Utilizing ElasticSearch and other big data technologies like MapReduce, Apache Spark and Scala. Working within an Amazon Web Services (AWS) cloud environment and utilizing tools such as SMS, Data Pipeline, Relational Database (RDS), Cloudwatch, EC2, EBS, S3, KMS, or SMS.
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Demonstrated five years of experience with the following: Working within an Amazon Web Services (AWS) cloud environment and utilizing tools such as SMS, Data Pipeline, Relational Database (RDS), CloudWatch, EC2, EBS, S3, KMS, or SMS.
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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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Strong experience with Linux Server platformExperience solving data engineering problems using technologies such as Spark, Solr. NoSQL database experience (MongoDB/Hadoop/Redis/DynamoDB/Elastic Search.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. SoSACorp has an immediate need for an experienced DevOps Reliability Engineer to work with the Govt customer to the develop more robust systems by way of a resilient infrastructures.
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The team is made up of software engineers, data scientists, data engineers, quant developers, DevOps engineers, product managers, business analysts, UX engineers, UX designers and more, all working to drive innovation in the financial services industry.
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Data: Both SQL and NoSQL, PostgreSQL, Mongo, Redis, Solr, ElasticSearch. Dive deep into data persistence challenges using PostgreSQL to optimize for speed, performance, and reliability.
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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) stack. DevOps concepts and tools, such as: GitHub, JIRA, Maven, Jenkins, Chef, Ansible, Docker, ELK stack, Nexus, Nagios.
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Search engine technology such as Solr, ElasticSearchHands on Experience in Handling Spark and Kafka Cluster managementExperience as software engineer lead or architect directly supporting Government technical stakeholdersDESIRED QUALIFICATIONSExperiencing interacting with AWS SDK, AWS API, AWS CLI, and AWS CloudFormationExperience with public clouds such as AWS and AzureExperience with cloud micro-servicesWorking on Big Data infrastructure for batch processing as well as real-time processing.
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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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Vibrint is a trusted provider of mission-critical systems and analysis that transform our customers' capacity and capability in harvesting and harnessing data. 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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DevOps & Deployment: All things AWS, Jenkins, Github. When given a UX spec and requirements, you are able to achieve the resulting behavior, look and feel, as well as the associated APIs to drive the backend data.
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Big Data technologies like Elasticsearch and Apache SolR. We are seeking a skilled and passionate DevOps Engineer to join our dynamic team based in Berlin. DevOps Engineer (m/f/d) in Berlin.
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Copart is looking for a talented Lead or Senior Data Platform Engineer/Kafka Administrator to join our DevOps team to support our data, search and messaging platforms and other related technologies, as well as partner with the product team to ensure data integrity in the entire system.
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Ansible Automation Experience; able to create, modify, and enhance existing playbooks; Gitlab or Jenkins or other DevOps automation tools. In depth knowledge of DataStax Solr search and tuning.
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