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Cloud Administrator
3 months ago
Preferred Experience:
than 6+ years of experience in information technology, Minimum of 3-5 years of experience in managing and administering Hadoop/Cloudera environments.
knowledge of Hadoop ecosystem components (HDFS, YARN, Hive, HBase, Spark, Impala, etc.).
in Linux system administration with experience with scripting languages (Python, Bash, etc.) and configuration management tools (Ansible, Puppet, etc.).
with data security practices and tools (Kerberos, Ranger, Sentry).
problem-solving and analytical with strong communication and interpersonal skills.
to work independently and in a team environment.
Certified Administrator for Apache Hadoop (CCAH) or similar certification.
with DevOps practices and tools (Docker, Kubernetes, Jenkins).
Essential
Cluster Management:
Cloudera clusters from scratch, including hardware and software configuration.
clusters to meet specific business requirements and workloads.
and execute cluster upgrades to ensure systems are up-to-date with the latest features and security patches.
necessary tests to ensure system stability post-upgrade.
monitor the health and performance of the clusters using Cloudera Manager and other monitoring tools.
alerting mechanisms to proactively address issues before they impact performance.
System Administration:
Hadoop components such as HDFS, YARN, Hive, HBase, Spark, Impala, Kafka, and others.
and manage data storage policies, replication, and fault tolerance.
and manage security policies, including Kerberos for authentication and Ranger or Sentry for authorization.
regular security audits and compliance checks.
and maintain scripts to automate routine administrative tasks (e.g., backups, log rotation, user management).
configuration management tools (Ansible etc.) to ensure consistent and repeatable cluster configurations.
Performance Optimization:
cluster performance by tuning Hadoop configuration parameters and adjusting resource allocations.
regular performance testing and benchmarking.
and resolve performance bottlenecks in the Hadoop ecosystem components.
with application developers to optimize data processing jobs for efficiency.
Best Practices Implementation:
and enforce best practices for data storage, retrieval, and processing.
guidance on the optimal use of Hadoop ecosystem tools.
Collaboration and Support:
closely with data engineers, data scientists, and analysts to understand data requirements and provide solutions.
in the design and implementation of data models and storage strategies.
Level 2 and Level 3 support for Cloudera platform-related issues.
and resolve technical issues related to cluster operations promptly.
comprehensive documentation of the platform architecture, configurations, and standard operating procedures.
troubleshooting steps and resolutions for future reference.
in an on-call rotation to provide after-hours support as needed.
rapid response to critical issues affecting cluster performance or availability.
effectively with stakeholders regarding system status, issues, and planned enhancements.
regular updates and reports on cluster performance and health.
with cross-functional teams to understand data requirements and provide solutions.
in planning and design sessions for new data initiatives.
training and support to junior team members and other stakeholders.
team members on best practices and new technologies within the Cloudera ecosystem.
Essential