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Familiarity with Azure DevOps (ADO), Jenkins, Artifactory, and similar systems along with experience in Unix/Linux shell scripting. Experience with Big Data technologies and developing in Hadoop ecosystem, i.e. Hadoop, Hbase, Hive, Scala, SPARK, Sqoop, Flume, Kafka, Python.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Shall have experience diagnosing and troubleshooting large-scale cloud computing systems, including familiarity with distributed systems for storage and retrieval of data, e.g., Hadoop, Cassandra, Scality, Swift, Gluster, Lustre, GPFS, Amazon S3, or other comparable technology for big data management or High-performance computing.
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Experience with the following tools: Big Data Hadoop Ecosystem (Sqoop, Spark, Hive, HDFS, Impala, Kafka), Python, JupyterHub, RStudio, SQL, Oracle. Indotronix is seeking a Hybrid- Lead Hadoop Developer in Pittsburgh, PA, and multiple client locations.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Apache Hadoop and Apache Spark and NoSQL databases such as MongoDB are a plus. The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Designs and implements, configures, and manages solutions within the following systems, products, and services: Microsoft Windows Server Systems, Microsoft Exchange, Active Directory, SharePoint, Microsoft Office 365 & Azure Cloud, Linux Systems, and VMWare.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Expert in large-scale data processing using parallel computing (e.g. Apache Spark, Hadoop, Dask). Familiarity with development on Linux and MacOS. Expert in large-scale data processing using parallel computing (e.g. Apache Spark, Hadoop, Dask.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Script programming including Linux Bash, Python, Visual Basic, WScript and other similar scripting experience is required. Knowledge of OpenStack, K8s, SQL, Edge computing and Hadoop test is a plus.
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As a Phoenix Cloud Integrator, you'll use highly desirable technologies in multiple domains including Big Data (Hadoop, Spark, Kafka), Cloud Computing (Amazon Web Services, Azure, Google), and automation (Puppet, Ansible.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm. The teams within USDS that deliver on this commitment daily span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
$158,080 - $289,469 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Strong knowledge of Linux, including system administration and troubleshooting. Proficient in configuration management tools such as Ansible or Puppet. a highly motivated and experienced DevOps Engineer to join our fast-paced development team.
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Shall have experience diagnosing and troubleshooting large scale cloud computing systems including familiarity with distributed systems for storage and retrieval of data e.g. Hadoop, CASSANDRA, SCALITY, SWIFT, Gluster, Lustre, GPFS, Amazon S3, or another other comparable technology for big data management or High performance computing.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Our client is seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team. Ability to develop in multiple programming languages such as bash, Python, or Go. Will work on-site with the customer on a regular basis, with some rotational support worked in currently.
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Apache Spark to be easily integrated with Hadoop leveraging HDFS as real-time processing framework to deduct Fraud system. Performs resource management by allocating resources to different applications and scheduling jobs using YARN. Process the data parallelly on top of Distributed Hadoop Storage i.e. HDFS using MapReduce.
ExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Basic Qualifications Experience working in Linux Experience working in AWS Experience with Kubernetes Experience in a DevOps Engineer or System Administration role Experience managing microservices using Docker and Kubernetes Experience with Big data tools like Elasticsearch, Hadoop/Hive, and Hue. Experience in working with Chef for automation and configuration.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Desired: · Shall have experience diagnosing and troubleshooting large-scale cloud computing systems, including familiarity with distributed systems e.g. Hadoop, CASSANDRA, SCALITY, SWIFT, Gluster, Lustre, GPFS, Amazon S3, or another other comparable technology for big data management or High-performancecomputing · Demonstrated ability to work independently on complex tasks, and show a willingness to educate and train more junior technicalresources.
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