Data & AI - Data Engineer
4 weeks ago
Key Responsibilities:
Platform Operations & Maintenance: Ensure smooth day-to-day operations of a Cloudera-based big data platform with high availability, reliability, and performance.
Monitoring & Issue Resolution: Use Cloudera Manager, Zabbix, Grafana, Splunk, SyslogNG to proactively monitor clusters and troubleshoot performance or system issues.
Security & Compliance: Maintain platform security, address vulnerabilities, and implement patching strategies to keep the system secure.
Automation & Scripting: Develop automation scripts using Bash, Python, or Shell scripting to streamline administrative tasks.
Deployment & Integration: Work with other technical teams to deploy new data solutions, ensuring smooth integration into existing workflows.
Cloud & Hybrid Environments: Experience with AWS or Azure is a plus, suggesting possible cloud-based or hybrid deployments.
Documentation & Incident Management: Keep clear records of configurations, troubleshooting steps, and resolutions for operational consistency.
What we looking:
Expertise in Cloudera Data Platform: Hands-on experience with HDFS, YARN, Hive, Spark, Impala, Ranger, and security & networking concepts.
Experience with Middleware Applications: Familiarity with Informatica, Denodo is a plus.
Problem-Solving & Troubleshooting: Ability to analyze complex system issues from hardware to application-level stack traces.
Certifications: A Cloudera Certified Administrator (or similar) is preferred.
Strong Communication & Collaboration: Ability to work effectively with cross-functional teams.
Experience with High-Availability & High-Security Systems: Particularly in data centers or hybrid cloud setups.
CARINE CHANG LAI CHOO (R1110706)
TDCX Talent Solutions Pte. Ltd. | EA Licence No. 23C2024
Tell employers what skills you haveTroubleshooting
Azure
Big Data
Hardware
Pipelines
High Availability
Informatica
Scripting
ETL
Bash
Reliability
Spark
Impala
SQL
HDFS
Networking
Python
Hive
Zabbix
Incident Management
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