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Creeler – This production associate places yarn cones onto holders (creels) to feed yarn into carpet manufacturing (tufting) machines. Shaw Industries Group, Inc. is a wholly owned subsidiary of Berkshire Hathaway, and is a global leader in delivering carpet, hardwood, tile & stone, laminate, synthetic turf, and other specialty products to residential and commercial markets worldwide.
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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. Performance tuning and troubleshooting of various Hadoop components and other data analytics tools in the environment: HDFS, YARN, Hive, HBase.
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Experience with distributed computing technologies such as Hadoop MapReduce, Scala/Spark-SQL, YARN/MR2 Expertise in designing, implementing and supporting highly scalable data systems and services in Scala Expertise building and running large-scale data pipelines, including distributed messaging such as Kafka, data ingest to/from multiple sources to feed batch and near-realtime/streaming compute components.
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The Creeler is responsible for maintaining proper yarn placement on the creel throughout the production of the carpet. The Creeler must possess the ability to evaluate yarn requirements relative to the job and in accordance with written specifications, and then plan creel maintenance accordingly.
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Troubleshooting the Hadoop Yarn jobs is must. 6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration.
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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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Textile/Fibers Engineering or Yarn: Working in all levels of plant operations, students are involved in promoting safety, process control, and ensuring quality production requirements are established and met.
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NET, Python And Minimum of 3 years experience with databases and data modeling / design (SQL and NoSQL) And Minimum of 2 years in full stack development for cloud solutions (Azure or AWS) - Azure preferred Skills and Knowledge Experience or exposure in JavaScript development frameworks and tooling: Angular, React, VueJS, & Gulp, Grunt, Yarn, etc.
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Extensive understanding of textile and yarn manufacturing processes and equipment (e.g., extruding, weaving, tufting, knitting, bonding, washing, finishing, etc.) As the Senior Textile Engineer on the Product development team, you will play a pivotal role in the growth and success of Ruggable.
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Years of experience with frontend tooling such as Node/npm, yarn or equivalent + years of experience with test driven development (TDD) using frontend testing frameworks such as Playwright, Puppeteer, Cypress or equivalent.
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5+ years of hands-on experience in architecting Big Data applications using the Hadoop ecosystem, such as Hadoop (HDFS, YARN, MapReduce), Spark (Spark SQL Spark Streaming, MLLib), Pig, Hive, HBase, Sqoop, Oozie.
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Experience developing application within the Node ecosystem (npm, yarn) and experience with application packaging (Webpack). Our client is a research and development lab federally funded by NASA and managed by Caltech.
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Must have an expert understanding and working knowledge of Continuous Integration and deployment tools like GIT, Nodejs/Yarn, Azure DevOps, Jenkins, Maven, etc. Must have an expert understanding and working knowledge of Continuous Integration and deployment tools like GIT, Nodejs/Yarn, Azure DevOps, Jenkins, Maven, etc.
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Keep yarn from being damaged while transferring from yarn boxes to yarn pin trucks. Stack yarn on yarn pin trucks only one layer above top row of pins. Position Summary: The Creeler is primarily responsible for creeling assigned yarns on correct knitting machines in an efficient and safe manner.
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The Production Operator is responsible for preparing and operating equipment in yarn preparation for the weaving process. As the Production Operator at Fenner Dunlop, you'll have to prepare and operate the equipment for yarn preparation.
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yarn job
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