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Keywords / Skills : Big Data

2 - 10 years
Posted: 2019-08-28

Posted On
28th Aug 2019
Job Ref code
Job Description
Job Description :
• 11+ years’ experience in Big Data technologies - in particular (Cloudera Hadoop, Yarn, HDFS, Kafka, HBase, Hue, Elasticsearch, Streamsets and, Spark)
• Setting up the Hadoop Cluster, configuration, installation, patching, upgrading, and support on high availability applications.
• Strong Hadoop design principals, Batch & Streaming, Containers, Kafka, NoSQL, PostgreSQL, security, and the factors that affect distributed system performance.
• Experience in monitoring technologies, platform optimization, tuning, big data backup strategies, and virtualization environments.
• Perform the monitoring & automation tasks for the large-scale distributed systems, especially those involving Hadoop, Kafka, Streamsets, Hive, Impala, HBase, Beeline, Cloudera Manager, Spark, NoSQL databases and analytical programming languages (Python/R).
• Perform operational DBA duties in a fast, complex environment - this will include patching, environment refreshes/cloning, database/application upgrades, user/password management, and implementing backup and monitoring procedures.
• Understanding of automation and orchestration principles, and will be eager to automate, wherever and whenever the possibility arises, while simultaneously eliminating technical debt.
• Having an expert in resolving an issue, immediately work on how to more quickly resolve the problem next time, to eventually prevent the problem happening ever again Strong knowledge of enterprise-level storage technologies.
• Experienced with Spark/Java/MapReduce application development and deployment
• Ensures Platform support is performed in a professional, effective, and efficient manner.
• Interact with the various support team and implementation engineers to resolve time-critical platform requests.
• Preparing and Owning the high-quality process and documentation to a complex system
• Willing to work on Shifts and Support on-call duties.
Key Skill(s)

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