DB Automation Professional

5 - 10 years

6 - 10 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Minimum of 5 Years of Mongo DBA Architect, Strong Internals, Aggregation framework, Indexing and experience with MongoDB Atlas
  • Minimum of 5+ Years of Hadoop DBA Architect, experience with Hadoop distributions (Cloudera, Hortonworks, or Apache) and Strong knowledge of Hadoop ecosystem components: HDFS, YARN, Hive, HBase, Spark, Oozie, Zookeeper, etc
  • Minimum of 2 years experience with open source or cloud-based databases
  • Recent experience with Apache Hadoop versions 3 -4 and 3 -3Proficiency in Hadoop ecosystem tools like Pig, Hive, HBase, and OozieExperience integrating MongoDB with big data ecosystems (Kafka, Spark, etc
  • ) is a plus
  • Recent experience with MariaDB, PostgreSQL, Snowflake, SQL Server or Oracle databases in addition to Hadoop Mongo DB
  • Recent experience with capacity planning and estimating the requirements for the Mongo & Hadoop clusters
  • Recent experience deploys in Hadoop clusters using Apache source or distribution sources like Cloudera
  • Recent experience managing the size of Hadoop clusters based on the data to be stored in HDFS
  • Recent experience deploys of Mongo DB clusters using MongoDB OPS Manager or Atlas CLI
  • Ability to manage and review Hadoop & Mongo log files
  • Recent experience with IAM tools and automated security provisioning for on premise and cloud-based database technologies
  • Recent experience with coding languages Java, Python, JavaScript and SQLRecent experience provisioning databases on Microsoft Azure, Amazon EC2 or Amazon RDS
  • Recent experience with modern backup approaches and tools including NetBackup or Data Domain for on premise and cloud-based databases
  • Significant database development or support experience with application development and implementation teams
  • Recent experience with DevOps and software engineering technologies
  • Proficiency in installation, configuration, and maintenance of different DBMS platformsProficiency in data migration between different database systems

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