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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Data: Scala, Spark, EMR, Kafka, Airflow, Yarn, Terraform Cloud, Snowflake, Athena, Redshift. Ops: Kubernetes, Docker AWS, Postgres. Data: Scala, Spark, EMR, Kafka, Airflow, Yarn, Terraform Cloud, Snowflake, Athena, Redshift.
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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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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Containers: Docker, Kubernetes (k8), OpenShift, cloud storage, flannel. Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase.
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Familiarity with AWS, Kubernetes, Docker, CircleCI, npm, yarn, and Github. This position is based out of Click’s headquarters located in Tribeca, NYC, at the center of one of the fastest-growing digital health communities.
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Build and automation tools, including Composer, Yarn, Webpack, Docker, CI/CD tools, shell scripting. Build and automation tools, including Composer, Yarn, Webpack, Docker, CI/CD tools, shell scripting.
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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Demonstrated expert-level experience in delivering end-end deployment automation leveraging Puppet, Ansible, Terraform, Jenkins, Docker, Kubernetes or similar technologies. Good knowledge in Querying and analyzing large amount of data on Hadoop HDFS using Hive and Spark Streaming and working on systems like HDFS, YARN, Hive, HBase.
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SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake. Data visualization (e.g. Tableau, Looker, MicroStrategy) Data mining/programming tools (e.g. SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake.
Full-timeRemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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API/Data Services : HTTP, GraphQL, REST, Swagger, ActiveMQ, gRPC, WebSockets Back-end : NodeJS, Python, C#, Java Spring Cloud/Virtualization : Docker, AWS EC2, VM Ware Databases : Neo4j, Postgres, MongoDB, ElasticSearch, Redis, MySQL, MS SQL Server Development workflow : Webpack, grunt, gulp, npm, yarn, gradle.
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Proficient in Software/Frameworks: Power Apps, Power Automate, ArcGIS Platform, Docker, Kubernetes, Kibana, Logstash, Node.js, YARN, Zookeeper, HDFS, Apache Spark, Apache Kafka, Ambari, Git, MS Office (Word, Powerpoint, Excel), Unix/Linux, OpenStack, AWS, Azure, VMWare.
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Experience in one or more of the following types of systems at their newest versions:Kubernetes and Docker, Redis and/or MongoDB, Kafka and/or RocketMQ, Flink, MySQL, ElasticSearch, HDFS, Mesos and/or Yarn.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Technology - PHP, Git, Rest, Docker, Solr, Javascript, Typescript, Tailwind, Lando. How to Simplify Drupal Builds with Yarn and Webpack: Some useful tools to automate the management of multiple packages.
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Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2. Familiarity with Linux script-based development environments and tools (Perl, Python, Ruby, PHP, etc. Machine Learning: SparkSQL, Java, Scala, Python, Jupyter.
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At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. Industry experience with Microsoft Server products, network connectivity, UNIX or other operating systems, and database migration to the cloud or SQL Server version upgrades.
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