Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Skills
HDFS
Apache hadoop
Kerberos
Job Details
Cluster Management: Setting up, configuring, and maintaining Hadoop clusters, including adding and removing nodes.
- Performance Tuning: Monitoring and tuning the performance of Hadoop clusters and MapReduce routines.
- Data Management: Managing HDFS (Hadoop Distributed File System) and ensuring data integrity and availability.
- Security: Implementing and managing Hadoop security, including Kerberos integration.
- User Management: Setting up new Hadoop users, including Linux users and Kerberos principals.
- Monitoring: Using open-source tools like Ganglia, Nagios, and Ambari to monitor cluster health and performance.
- Backup and Recovery: Implementing high availability and disaster recovery solutions for Hadoop clusters.
- Collaboration: Working with data delivery teams and other IT teams to ensure smooth operations and data quality.
- Technical Skills: Proficiency in Hadoop ecosystem tools like HDFS, Yarn, Hive, Impala, Spark, Kafka, HBase, and Ambari.
- Experience: Hands-on experience with open-source Hadoop distributions (e.g., Apache Hadoop).
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