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Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Data Engineer improves operational visibility by creating analytics and models, maintaining data pipelines, and automating workflows using AI solutions. The role involves cross-functional collaboration to support planning and operational needs.
Top Skills:
Ai ToolsETLMicrosoft 365 CopilotPower BISQLTableauUipath Automation
Artificial Intelligence • Software • Generative AI
Collaborate with multiple teams to develop data requirements, manage data governance, and enhance efficiency through data development tools.
Top Skills:
AWSAzureEmrFlinkGCPHadoopHdfsHiveMapreduceRedshiftS3SnowflakeSparkYarn
Information Technology
The Data Engineer will solve complex data challenges, optimize data pipelines, debug failures, and enhance database performance for government agencies.
Top Skills:
AWSAzureGCPPandasPythonSQL
- 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 incidents
Unison Consulting Singapore Office
1 Changi Business Park Crescent, , Plaza 8 #03-06 Tower A, Singapore, , Singapore, 486025
Unison Consulting Singapore Office
#12-00, 63 Market Street, Bank of Singapore Center, Singapore, , Singapore, 048942
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
