SIEM/ SOC Engineer (MNC)

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

Job summary

A leading recruitment agency in Singapore is hiring a skilled data pipeline engineer to optimize and maintain security data models. The successful candidate will develop parsers for various log sources and collaborate with different teams to troubleshoot and automate data processing. A degree in Computer Science or a related field and experience with Python, Regex, and SIEM platforms are required for this pivotal role.

Qualifications

• Hands-on experience with Python and Regex for log processing.
• Familiarity with SIEM platforms like Splunk and QRadar.
• Knowledge of cloud platforms and optimizing data pipelines.

Responsibilities

• Build and optimize data pipelines for security logs.
• Develop parsers to transform log formats into a standard format.
• Collaborate with teams to troubleshoot data ingestion issues.

Skills

Python

Regex

ETL

Log parsing

Machine learning

Collaborative troubleshooting

Education

Degree in Computer Science or related field

Tools

Splunk

Elastic

QRadar

AWS

Azure

GCP

Job description

Responsibilities

• Build, maintain, and optimize data pipelines for collecting and processing security logs from multiple sources.
• Develop parsers and scripts (Python, Regex, etc.) to normalize and transform inconsistent log formats.
• Implement and maintain security data models within SIEM platforms (e.g., Splunk, Elastic, QRadar).
• Optimize log storage and data structures to improve performance and reduce cloud costs.
• Troubleshoot ingestion and parsing issues in collaboration with SOC and platform teams.
• Automate data transformations and routing pipelines for new and existing log sources.
• Document pipelines, data models, and ingestion processes for operational transparency.
• Collaborate with SOC analysts and threat intelligence teams to implement detection use cases.
• Leverage machine learning or scripting to enhance log parsing and anomaly detection.
• Support onboarding of new log sources and integration with cloud or on-premise SIEM solutions.

Requirements

• Degree in Computer Science, Engineering, or related technical field.
• Hands‑on experience with Python, Regex, ETL, and log parsing/transformation pipelines.
• Familiarity with SIEM or log analytics platforms (Splunk, Elastic, QRadar, ArcSight) and security monitoring concepts.
• Knowledge of cloud platforms (AWS, Azure, GCP) and experience optimizing data pipelines for scalability and cost efficiency.

Application Instructions

Please submit your updated resume in Word format by using the Apply Now Button.

We regret that only shortlisted candidates will be notified.

Email resume to [e-mail].