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Hands-on experience with servers (Supermicro, EMC, DELL, HP) is preferable. Perform hands-on work on servers and computers/networking equipment. Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker. You will be responsible for building out a holistic view of seller risk performance, identifying potential risks and supporting controls by leveraging analytics insights and tools (i.e., SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughtSpot/Looker, etc.
$120,000 - $145,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Provide technical support over phone and/or web to customers on hardware and software issues. The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role.
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Extensive hands-on experience building and optimizing data structures for data analytics, data science and business intelligence. Familiarity with the following technologies: Hadoop, Kafka, Airflow, Hive, Presto, Athena, S3, Aurora, EMR, Spark.
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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 will be responsible for building out a holistic view of performance as well as a detailed analytics roadmap by leveraging analytics tools (i.e., SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughtSpot/Looker, etc.
$96,000 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience on Apache Hadoop ecosystem components like MapReduce, Sqoop, Pig, Hive, HBase, Spark, Kafka, Oozie, Flume, Zookeeper. Excellent knowledge on Hadoop Components such as HDFS, Name Node, Data Node, YARN, Resource Manager, Node Manager, and Map Reduce programming paradigm.
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Responsibilities:Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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4+ years of hands on experience with servers (Supermicro, EMC, DELL, HP) is a plus. Hands-on work on servers and computers/networking equipment. Provide on-premise field repair at customer facility.
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Please note candidate must have hands on technical background in data engineering, experience as a delivery/ scrum master in the data engineering space, and cloud data migration (preferably to GCP) project experience.
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Past hands-on software development experience with Java, Python, SQL, Web, Angular or React. Lead a global engineering team, manage all day-to-day data engineering and data operations on the Data Fabric platform globally, ensuring optimum end-user experience and business continuity whilst mitigating risks and meeting delivery milestones.
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Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) Knowledge and Hands-on Experience in Data Quality and Data Governance.
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You have a deep understanding of data modeling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop. and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting.
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The Service Reliability Engineer (SRE) role in Apple Services Engineering requires a mix of strategic engineering and design along with hands-on, technical work. Deep understanding and experience in one or more of the following - Docker, Mesos, Kubernetes, AWS, Ansible, Hadoop, Spark, Cassandra.
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Hands on experience with servers (Supermicro, EMC, DELL, HP) On-site and remote troubleshooting and resolving complex technical problems on Supermicro equipment in an enterprise environment.
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