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The Mercedes-Benz Data and AI team is seeking a hands-on machine learning expert for research, design, and development of cutting-edge technology applied in projects that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our customer's experience.
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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.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Strong hands-on experience with Hadoop, Hive, Apache Spark. You will have deeper understanding of Data Engineering approaches along with hands on experience in building highly scalable solutions.
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1 year of hands-on experience with selling computer hardware solutions to data center or enterprise accounts (prior software or telecom sales will be considered) preferred. 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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Hands-on experience in batch processing (Spark, Presto, Hive) or streaming (Flink, Beam, Spark Streaming) As part of this group, you will work with petabytes of data daily using diverse technologies like Spark, Flink, Kafka, and Hadoop.
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Hands on experience with AWS /EMR, S3, Glue, Athena and Kubernetes Infrastructure. Expertise in designing, implementing and administering large Hadoop clusters and related Infrastructure such as Hive, Spark, HDFS, HBase, Oozie, Presto, Flume, Airflow and Zookeeper.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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5+ years of hands on SAP Analytics Cloud (SAC) planning and analytics implementation, with project experience of migrating BPC to SAC. User experience with Hadoop, Databricks, Tableau.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Expert understanding in Linux based systems and deep expertise in Hadoop/YARN/Spark based technologies. The base pay range for this role is between $183,400.00 and $316,900.00, and your base pay will depend on your skills, qualifications, experience, and location.
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Data Processing - Strong understanding and hands-on knowledge of advanced Tableau, PowerBI, WebMethods (middleware), Hadoop functions and ETL tools (Tableau Prep, Azure Data Factory.
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4+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive,Scala, Airflow or a workflow orchestration solution are required. 8+ years of hands-on experience with developing data warehouse solutions and data products.
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2+ years of hands-on experience in modeling(Erwin) and designing schema for data lakes or for RDBMS platforms. A client of ours in Sunnyvale CA is looking for a Senior Data Engineer for a Contract on W2 opportunity.
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Provide ongoing maintenance and enhancements to existing systems and participate in rotational on-call support. Capable of delivering on multiple competing priorities with little supervision.
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Mentor junior engineers on the team. Create data pipelines using Apache Hive, Apache Spark, Scala, Apache Kafka. Continuous Integration tools such as Bamboo, Jenkins, or TFS. Automate workflows using Apache Airflow.
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Hands on experience in writing, designing image processing system, complex operations on geo data. Strong hands-on expertise with at least one programming language: Scala, Java, or Python.
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Hands-on experience with workload/scheduler Managers (Slurm, Kubernetes) for server cluster. Provide on-site software deployment/customer acceptance verification test. Write and maintain custom automation application to increase system efficiency and minimize any human intervention on any tasks.
$80,000 - $137,000 a yearFull-timeExpandUpdated 3 months ago
hadoop hands on jobs in Cupertino, CA
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