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4-5 experience building data pipelines using Hadoop components Sqoop, Hive, Solr, MR, Impala, Spark, Spark SQL., HBase. We're looking for an outstanding Big Data Hadoop Engineer to provide vision, gather requirements and translate client user requirements into technical architecture and design and implement an integrated Big Data platform and analytics solution.
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Must have hands-on experience in Big Data Technologies i.e. Apache Hadoop, Map Reduce, Hive, PIG, Sqoop, Flume etc. Knowledge of Hadoop architecture and Hadoop Distributed File System, Hadoop ecosystem.
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We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success.
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Job summary The Sr Test Engineer is responsible for the hands-on implementation of Azure/Hadoop/Spark/DataStage validation that meet business requirements, goals, and objectives and, at the same time, encompass the full range of technologies employed by client servers, networks, systems, and data management processes.
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Involve in Architecture, design & development of Hadoop based solutions with Hadoop Cloudera, Scala, SPARC, Flume & Kafka, and Data Design & Database Development. Involve in Architecture, design & development of Hadoop based solutions with Hadoop Cloudera, Scala, SPARC, Flume & Kafka, and Data Design & Database Development.
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Experienced QA with expertise in Agile Functional, Teradata, Hadoop and Automation testing. Primary Skill: Hadoop/Teradata/Agile Testing (Must have) Secondary Skill: Tosca (Good to have.
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What You’ll DoDesign and build new tools as well as enhancements to existing our surveillance and monitoring tools for the compliance business communityDevelop solutions using Python, Hadoop, Spark, and HIVE/SQLWork on projects that require deep knowledge of Python and Spark and the ability to deliver custom solutions to big data in a performant mannerWhat we're looking forBachelor's degree in Computer Science, Engineering, Mathematics or related discipline or its foreign equivalent.
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Perform Administration and Engineering activities on Open-source Hadoop, Open-source Spark, Airflow, Machine learning platform running on Open-source Kubernetes clusters. Extensive knowledge on Hadoop eco-system such as HDFS, Yarn, HIVE and SPARK.
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Strong knowledge and experience on ETL, Data warehousing concepts, Cloudera, Hadoop, Pyspark, Hive, Tableau, Talend and other Big Data technologies. Strong knowledge and Hands on experience in Architecting Cloudera, Hadoop, based platforms with large amount of data.
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Manage Hadoop ecosystem components such as HDFS, YARN, Hive, Impala, Spark, Kafka, and HBase. We are seeking an experienced Hadoop Administrator to join our dynamic IT team. Proven experience as a Hadoop Administrator or similar role.
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Extensive experience with Hadoop platform support. 4-5 years of Hadoop. Experience supporting/upgrading Cloudera Data Hub, Cloudera Manager, Cloudera Navigator (version 5.13. Designing/configuring/tuning replication (BDR or other replication tools.
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Linux Administration, Hadoop Data Platform, Mongo DB Administration, Splunk, Mesosphere DCOS, Knowledge on Containers, Ansible, Kubernetes and Basic Concepts like ETCD, ISTIO and CNF, RHEV and Virtual Machines.
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Experience with multiple large-scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster setup, security, performance tuning, and monitoring.
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Title: Sr. Site Reliability Engineer w/d Hadoop and Spark Exp. Note: Please do not share profile if candidate does not have Hadoop and Spark. Exposure to Hadoop / Spark. Title: Sr. Site Reliability Engineer w/d Hadoop and Spark Exp.
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Must have Hadoop and Spark knowledge (we are migrating legacy ETLs to Spark based processing framework) Experience in AWS cloud is preferred. Title: Data Engineer (Core Java/ETL/Hadoop/Spark.
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Title: hadoop Company: Reclabs
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