
Senior Big Data Administrator
16 hours ago
We are seeking a highly skilled Big Data Administrator to manage our big data platform. This is an exciting opportunity for experienced professionals to work with cutting-edge technology and contribute to the success of our organization.
">The ideal candidate will have extensive knowledge of Hadoop, Hive, HBase, and other big data technologies. They will be responsible for administering and monitoring big data platform components, supporting technical and application teams, troubleshooting issues, and resolving problems related to user queries and application jobs.
">Additionally, the successful candidate will have experience with encryption zones, managing encryption keys, and copying data between encryption zones. They will also support projects and initiatives related to data acquisition, processing, and utilization through big data platforms.
">Key Responsibilities:
- Administer and monitor big data platform components.
- Support technical and application teams.
- Troubleshoot and resolve issues related to user queries and application jobs.
- Monitor and troubleshoot big data platform, including hosted DBs, tools, and services.
- Experience with CDP Private Cloud and IBM BigSQL.
- Strong communication skills.
Requirements:
- Bachelors or Masters degree in Computer Science or applicable 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 CI/CD.
- 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.
- Strong communication skills.
- Mandatory skill: Dataiku.
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