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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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Experience or exposure in JavaScript development frameworks and tooling: Angular, React, VueJS, & Gulp, Grunt, Yarn, etc. Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar.
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Sets up and operates modified textile looms that weave wire and yarn into programmed or straight-run wiring harnesses for military and aerospace applications. At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions - whatever and wherever they may be.
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2+ years of experience with frontend tooling such as Node/npm, yarn or equivalent. We are seeking a talented UI Design Engineer to play a key role in developing a comprehensive Design System that includes a UI component library utilizing Angular, Material, and NGZorro, as well as data visualization templates for Dash, React, and Qlik Sense enterprise products.
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Experience with distributed computing systems and/or cloud infrastructures (e.g. Spark, Hadoop, YARN, Kubernetes, AWS, etc.) Experience coding with Java, Go and/or web technologies (e.g. HTML, CSS, JavaScript, Python/Ruby, Django/Flask/Ruby on Rails, etc.
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HDFS, Map Reduce, Pig, Oozie, Yarn). Should have certified in Spark from Cloudera or Databricks or Hortonworks. Knowledge in Kafka, Pig, MapReduce, HBase, Sqoop, Solr is a plus Exposure in BI Tools like Tableau, MicroStrategy etc.
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You have expertise in NoSQL, Distributed Stream processing and Message Broker technologies specifically Cloudera Hadoop ecosystem (Yarn, Spark, Hive, Impala, Airflow) and Kafka. You have expertise in NoSQL, Distributed Stream processing and Message Broker technologies specifically Cloudera Hadoop ecosystem (Yarn, Spark, Hive, Impala, Airflow) and Kafka.
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Uses Big Data Technologies Hadoop Ecosystems, HDFS, HIVE, SQOOP, PIG, SPARK- SQL, KAFKA, YARN, and EPIC data sources. Uses Big Data Technologies Hadoop Ecosystems, HDFS, HIVE, SQOOP, PIG, SPARK- SQL, KAFKA, YARN, and EPIC data sources.
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While turning yarn into an actual product, our Flatbed Knitting Machine Operators will interact with inspectors and other members of the Knitting Team to ensure that the correct product specifications are being met.
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Family planning support, including fertility, adoption, and surrogacy assistance. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity.
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Experience with big data tools (Cloudera, Hadoop, Spark, Map Reduce, NiFi, Sqoop, YARN) Experience with AWS cloud services (S3, EC2, EMR, Redshift, Glue, CloudWatch, Lambda, Athena) Experience with big data tools (Cloudera, Hadoop, Spark, Map Reduce, NiFi, Sqoop, YARN.
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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.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Perform safety watch duties, as necessary, in the primary stage of yarn production as well as provide support to the same area such as aiding in moving spin blocks to and from the mezzanine, labeling and moving drums, etc.
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Technical Environment: Python and PySpark programming; Hadoop; HDFS, map-reduce, YARN, AWS EMR; Hive, HBase, parquet, ORC, Spark SQL, Sqoop, Apache Hudi; orchestrating ETL pipelines involving data sourcing, transformations and publishing using Apache Airflow; Apache Kafka; Advanced SQL for data profiling and data validation; Unix commands and scripting; JIRA, Gitlab, and Subversion; EMR; S3; RDS; MWAA; Jenkins; CircleCI; Agile; AWS.
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Operate and troubleshoot processes and equipment specific to the secondary stage of yarn production. This position requires interaction with other technicians, control room operator, shift coordinator, and supervision within the fiber production organization.
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yarn job
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