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.
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 [Confidential Information]
People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724
EA License Number: 02C4944
Registration Number: R1872398
Posting Personnel: Ng Jwee Ken
Ref: 3WW8648V
