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4+ years developing, deploying, and monitoring cloud native solutions (AWS & Azure are the preferred), with a focus on Infrastructure-as-code tools, preferably Terraform. Package managers such as NPM, Maven, Gradle, and yarn.
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Gain experience using the latest technologies including Kubernetes, React, Angular, Java, Docker, Robotics and AWS. CoLinx is also a great opportunity to show off and grow your devops skills. Angular, React, Node.js, npm, yarn.
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Familiarity with language dependency/package tooling such as Gradle / Maven, pip, Rubygems, and npm / yarn. Familiarity with Terraform, Jenkins, AWS Services (EKS, EC2, etc) Familiarity with language dependency/package tooling such as Gradle / Maven, pip, Rubygems, and npm / yarn.
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Experience in operating and deploying container orchestration systems like Kubernetes &/ YARN. - Utilize core computer science data structures, algorithms, and software tools in one of the languages - Python, Golang, Java or other JVM languages.
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AWS Certified Solutions Architect Associate. · Experience creating CI/CD pipelines (Jenkins, Maven/Gradle/NPM/Yarn, Jira, Bitbucket) · AWS ECS/Fargate, Lambda, SQS/SNS, API Gateway, and RDS.
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Strong experience with Hadoop, Impala, Pig, Hive, YARN, and other big data technologies. Remarkable experience with Amazon AWS, Google Cloud, or Microsoft Azure cloud platforms. Several years working experience with Business Intelligence Platforms including PowerBI, Tableau, SportFire, QlikView, MicroStrategy, Information - Builders, Looker, or Domo.
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Cloudera/Hortonworks Hadoop operations and troubleshooting experience, including working with Zookeeper, HDFS, Hive, YARN, and related components like Cloudera Manager/Ambari, Ranger/Sentry, etc.
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Hands-on experience with big data services (Hadoop, HDFS, Hive, Yarn, HBase, Kafka, Zookeeper). Hands-on experience with cloud technologies (Cloud Foundry, Kubernetes, AWS). Hands-on experience with big data services (Hadoop, HDFS, Hive, Yarn, HBase, Kafka, Zookeeper.
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Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake. Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow.
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IoExperience with GraphQLExperience with Microsoft Azure or similar AWS services exposureExperience with Node/NPM/Yarn/Whatever came out yesterdayOur compensation reflects the cost of labor across several.
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5+ year support experience of Big Data technologies in Hadoop ecosystem - Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. 5+ years' experience with ETL/ELT tools such as AWS Glue ETL, Talend, Datastage etc.
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Python, XML, Linux, or JavaScriptsAt least 4 years of demonstrated experience working with and building APIs and web servicesAt least 4 years experience with build automation technologies such as Maven, Gradle, Webpack, NPM, Yarn, Jenkins, GitLab, TerraformAt least 4 years of demonstrated experience working with SQL databasesAt least 4 years of demonstrated software development experience utilizing SAFe or similar agile methodologies.
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Experience with developing software applications in at least one of the major Cloud platforms – Azure, GCP or AWS. Experience with Yarn, Gradle, WebPack, CSS. Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue’s confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR.
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As part of the team responsible for maintaining and modernizing mission-critical applications hosted in Amazon Web Services (AWS), the full-stack developer will be expected to work according to Agile methodology on 2-week sprints, tracked in Jira with documentation in Confluence.
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Experience with modern front-end frameworks and tools (webpack, yarn, gulp, grunt, angular, react, sass) Knowledgeable in cloud platforms (preferable AWS: both traditional EC2 and serverless Lambda), micro-services architecture, CI/CD solutions (including Docker), DevOps principles, message queue systems, and background task management.
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