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2+ years of experience in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar 4+ years of experience in Unix Shell scripting Certified in. Experience with Contact Center Technologies leveraging Advanced Voice Recognition, Conversational AI, and Natural Language Processing 8+ years of experience in JavaScript development frameworks and tooling: Angular, React, VueJS, & Gulp, Grunt, Yarn, etc.
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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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Implement Hadoop job orchestration using Shell scripting, and Airflow. Troubleshooting the Hadoop Yarn jobs is must. Key Technology: DataBricks, AWS, Spark. Should have strong development experience on Databricks components.
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Hands-on experience in Scala/Big Data technologies (Spark/Flink, Hive, Oozie, Hbase/Cassandra/MongoDB, Redis, YARN, Kafka) Experience with Java/Scala programming language Experience with shell scripting Experience with ETL job design using Nifi/Streamsets/Talend/Pentaho/etc.
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Extensive knowledge on Hadoop eco-system such as HDFS, Yarn, HIVE and SPARK. Excellent Shell, Python programming skills for automation requirement for repetitive dev-ops tasks Understanding of security tools like Kerberos and Ranger.
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3+ years of experience in running, using and troubleshooting the ETL Cloudera Hadoop Ecosystem i.e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume. Understand Hadoop, Spark, Python and other Eco Systems like Impala, Hive, Oozie, Pig etc., Autosys and UNIX Shell Scripting.
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Should have good experience in working with big data technologies like Hadoop, Yarn, MapReduce, Pig, Hive, Spark and other associated technologies. Expertise in database programming like writing Stored Procedures ( SQL ), Functions , Triggers , Views , Shell scripting.
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Knowledge on Apache Distribution, have to manually setup all the configurations- Core-Site, HDFS-Site, YARN-Site and Map Red-Site. Aware of the configuration setup using Hadoop distribution like Hortonworks, Cloudera or MapRCapacity planning and estimating the requirements for lowering or increasing the capacity of the Hadoop cluster, deciding the size of the Hadoop cluster based on the data to be stored in HDFS.Ensure that the Hadoop cluster is up and running all the time.
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Supply machines with filling yarn - correct yarn description and lot number. Order, transport, and stage processed/raw yarn. Move yarn to machinery for processing. Verify type yarn received.
$14.5 - $16.9 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Job Location: Morris Plains, NJ (remote to start); Remote, Memphis, TN (preferred), Morris Plains, NJ, Austin, TX (preferred), St. Louis, MO. Drive mentality of building well architected applications for AWS Cloud.
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Familiarity with HBase, YARN, Kafka. Able to write Shell and Perl scripts. Familiarity with HBase, YARN, Kafka. splunk agent deployment, report creation, distributed splunk deployment. puppet package deployment , automation - vm deployment.
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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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Hadoop (MapReduce, Yarn, Spark) and Hive skills. · Should be good in scripting (Shell & Python) and automation (automating daily activities) Hadoop (MapReduce, Yarn, Spark) and Hive skills.
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Responsible for data engineering source code control using GitLab. Basic Qualifications:Experience with relational databases and knowledge of query tools and/or BI tools like Power BI or OBIEE and data analysis tools Experience with the Hadoop eco system, including HDFS, YARN, Hive, Pig, and batch-oriented and streaming distributed processing methods such as Spark, Kafka, or Storm Strong experience in automating ETL jobs via UNIX/LINUX shell scripts and CRON jobs.
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yarn shell jobs
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