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Experience working with large data sets using big data solutions such as Hadoop, Spark etc. Role: Informatica Administrator (SQL DBA) We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses.
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Collaborate closely with Site Reliability Engineers (SRE), Customer Support (CS), Developers, QA and System engineering teams in replicating complex issues leveraging broad experience with UI, SQL, Full-stack and Big Data technologies.
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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.
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Own back-end services like our Hadoop data warehouses, front-end services like Messenger and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between.
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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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Relevant industry experience is important (Site Reliability Engineer (SRE), Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator or similar role), but ultimately less so than your demonstrated abilities and attitude.
$105,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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OPS Consulting is seeking a Cloud Systems Administrator to support a cloud environment platform, built with Java on Free and Open Source Software products including Kubernetes, Hadoop, and Accumulo to enable the execution of data-intensive analytics on a managed infrastructure.
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Provide support for the installation, configuration, tuning, and management of large Hadoop (Apache Accumulo) clusters that support data intensive computing. SITEC is an employee and customer focused Information Technology and Professional Services Firm specializing in design, development, and delivery of state-of-the-art technology solutions, as well as cybersecurity, software and systems engineering services.
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The Cloud Systems Administrator will provide support for the installation, configuration, tuning, and management of large Hadoop (Apache Accumulo) clusters that support data intensive computing.
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Experience forward and reverse engineering data architecture and associated tools (ERwin, ER/Studio) and databases (Oracle, MongoDB, ElasticSearch, Hadoop, PostgreSQL, SQL Server.
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This opening requires the candidate to have experience as a Linux system administrator for large Hadoop and Accumulo based clusters, a strong background in troubleshooting operational system issues as they arise, and strong Linux administration skills.
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Experience with Big Data technologies is a huge plus (Hadoop, Kafka, Accumulo, Storm, Hortonworks, Cloudera). Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers.
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Experience with Cloudera ECS and Cloudera Data Services such as Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning. As a Big Data Administrator, you will be responsible for managing our Big Data infrastructure and tools within the Cloudera ecosystem.
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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry.
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