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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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Service Management~ Administer, configure, and maintain Hadoop ecosystem services within both Cloudera Data Platform (CDP) and Cloudera Distributed Hadoop (CDH), including HDFS, YARN, Hive, Spark, Ranger, Sentry, Kerberos security, KMS, KTS, Zookeeper, and more.
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Knowledge of distributed system schedulers: Kubernetes, Hadoop YARN, Spark standalone. 5+ years working with key open source big-data projects as a contributor or committer including Delta Lake, Apache Iceberg, Apache Hudi, Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Storm and Apache Hive.
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Strong experience with Hadoop, Impala, Pig, Hive, YARN, and other big data technologies. Several years working experience with Business Intelligence Platforms including PowerBI, Tableau, SportFire, QlikView, MicroStrategy, Information - Builders, Looker, or Domo.
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Excellent knowledge on Hadoop Components such as HDFS, Name Node, Data Node, YARN, Resource Manager, Node Manager, and Map Reduce programming paradigm. Hands-on experience on Apache Hadoop ecosystem components like MapReduce, Sqoop, Pig, Hive, HBase, Spark, Kafka, Oozie, Flume, Zookeeper.
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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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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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You have experience with large scale data processing technologies (e.g. Spark, Flink, Kafka, Airflow, YARN/Hadoop) You have experience with large scale data processing technologies (e.g. Spark, Flink, Kafka, Airflow, YARN/Hadoop.
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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. Implementation experience for Hadoop distribution platforms like Cloudera or AWS EMR.
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Experience with Hadoop ecosystem components - HDFS, YARN, MapReduce & cluster management tools like Ambari or Cloudera Manager and related technologies. We are looking for a Senior Hadoop SRE ( Hadoop Reliability Engineer ) to join our digital platform team for new initiatives.
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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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Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience. Cloud and Distributed Computing Technologies: at least one or a combination of several of the following areas - YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase , JMS, Concurrent Programming, Multi-Node implementation/installation.
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Hadoop Infrastructure's mission is to provide a multi-tenant, observable, and highly available infrastructure backed by the open-source Apache Hadoop platform (HDFS, HBase, Hive, Oozie, YARN/Spark, etc.
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In depth knowledge on Hadoop eco-system/Architecture such as Zookeeper, HDFS, Yarn, HIVE and SPARK.Understanding of security tools like Kerberos and Ranger. Job Description And ResponsibilitiesEssential Functions:Single window support: Leverage deep understanding of Hadoop and its related tools specially Hive, SPARK, HDFS and do complete RCA be it platform or user code/config related.
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Big Data Components/Frameworks such as Hadoop (MapR), Spark, Yarn, Kafka, Flink, ELK, etc. Big Data Components/Frameworks such as Hadoop (MapR), Spark, Yarn, Kafka, Flink, ELK, etc. 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy.
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