Senior Data Administrator

7 days ago

Bengaluru, Karnataka, India beBeeBigDataAdministrator Full time ₹ 20,00,000 - ₹ 25,00,000
About This Role:
We are seeking a seasoned expert in data administration to oversee the management of our big data platform. As a key member of our team, you will be responsible for ensuring the smooth operation of our Hadoop ecosystem, including HDFS, MapReduce, Hive, HBase, and Spark.

Job Responsibilities:
• Administer and monitor Big Data Platform components
• Support technical and application team requests for data copies across environments, data cleanup, query tuning, etc.
• Monitor and troubleshoot Big Data Platform, including hosted DBs, tools, and services
• Create encryption zones, manage encryption keys, and copy data between encryption zones
• Support projects/initiatives related to data acquisition, processing, and utilization through Big Data Platform
• Maintain and support Big Data Platform, CDP Private Cloud, and IBM BigSQL across multiple environments
• Install new versions, patches, support upgrades of CDP Private Cloud and IBM BigSQL
• Monitor and troubleshoot platform issues and performance tuning
• Support security policies, documentation, and compliance

Requirements:
• Bachelor's or Master's degree in Computer Science or relevant field of study
• 35 years of experience in Hadoop ecosystem, HDFS, MapReduce, Hive, HBase, Spark, Scala, Yarn, Sqoop, Ranger, Knox, Kerberos, LDAP, SOLR
• 6 years of experience with Java and Linux/Unix
• 4 years of experience with security scripting and automation
• 2 years of experience in R, Python, Flume, Storm, Kafka
• 2 years of experience with IBM BigSQL or similar MPP SQL engines
• 2 years of experience with MySQL
• 1 year of experience with CICD
• Experience with administration and performance tuning of Hadoop distributions, open-source, and commercial
• Highly competent with data lake concepts and big data capabilities
• Good understanding of data virtualization, replication, and data governance
• Experience with AWS or other cloud-based PaaS/SaaS environments
• Experience with AWS EMR

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