Security Data Engineer — SIEM & Log Pipelines

PEOPLE PROFILERS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A recruitment agency in Singapore is seeking a skilled data engineer to build and optimize data pipelines for processing security logs. The role involves normalizing log formats, implementing data models within SIEM platforms like Splunk and Elastic, and troubleshooting with security operations teams. Candidates should have a degree in Computer Science and hands-on experience with Python and log analytics. This position offers an opportunity to enhance security monitoring in a dynamic environment.

Qualifications

• Hands-on experience with Python, Regex, ETL, and log parsing/transformation pipelines.
• Familiarity with SIEM or log analytics platforms and security monitoring concepts.
• Knowledge of cloud platforms and experience optimizing data pipelines for scalability.

Responsibilities

• Build, maintain, and optimize data pipelines for security logs.
• Develop parsers and scripts to normalize log formats.
• Implement and maintain security data models within SIEM platforms.
• Troubleshoot ingestion and parsing issues with SOC and platform teams.

Skills

Python

Regex

ETL

Log parsing

Education

Degree in Computer Science, Engineering, or related field

Tools

Splunk

Elastic

QRadar

AWS

Azure

GCP

Job description

A recruitment agency in Singapore is seeking a skilled data engineer to build and optimize data pipelines for processing security logs. The role involves normalizing log formats, implementing data models within SIEM platforms like Splunk and Elastic, and troubleshooting with security operations teams. Candidates should have a degree in Computer Science and hands-on experience with Python and log analytics. This position offers an opportunity to enhance security monitoring in a dynamic environment.