DB automation

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 3.3 Proficiency in Hadoop ecosystem tools like Pig, Hive, HBase, and Oozie Experience 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 SQL Recent 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 platforms Proficiency in data migration between different database systems