Data Platform Engineer
7 days ago
Responsibilities
• Oversee day-to-day operations of big data platform to ensure high availability, reliability and performance.
• Proactively monitor big data platform services, components and clusters to identify potential issues. Take corrective actions as needed to maintain platform health
• Manage configuration, upgrades, and patching of big data platform, ensuring all services are up to date
• Work with the Authority's technical teams to ensure smooth deployment and adoption of new solution to support data ingestions, process and workflows
• Maintain clear and detailed documentation of platform configuration, troubleshooting steps and incident resolution.
• Continuously monitor for and address platform security vulnerabilities. Implement patching strategies to resolve identified vulnerabilities and maintain a secure environment.
• Develop automation script to streamline administrative tasks, platform health and ensure operational consistency.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues
Requirements:
• Hands-on experience, knowledge and troubleshooting of Cloudera Data Platform such as HDFS, YARN, HIVE, Spark, Impala, Ranger, operating systems, security and network.
• Hands on experience with monitoring tools like Cloudera Manager, Zabbix, Grafana, Splunk, SyslogNG
• Familiarity with middleware applications i.e. Informatica, Denodo and scripting languages like bash, python, or shell scripting for automation
• Experience with cloud technology i.e. AWS, Azure is a plus
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.
• Cloudera Certified Administrator or similar certification are a plus.
• Excellent communication skill to work with cross-functional teams
• Ability to handle high-pressure situations and manage critical incident
cloudera
Requirements Gathering
Troubleshooting
Apache Spark
Azure
Big Data
Informatica
Scripting
Service Level
Impala
HDFS
Python
Arranger
Hive
Zabbix
Java
Data Analytics
Databases
Software Development
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