Description

What's the Job?

• Design, build, and maintain scalable data ingestion pipelines for onboarding security log sources into SIEM and cloud data platforms, including Azure Data Explorer and Log Analytics.
• Parse, normalize, transform, and enrich structured and unstructured log data using techniques such as regex, JSON parsing, schema mapping, and data validation.
• Partner with application owners, infrastructure teams, cloud teams, vendors, and security stakeholders to onboard new log sources and confirm end-to-end data flow.
• Validate log integrity, completeness, timeliness, and quality to ensure security telemetry is reliable and fit for monitoring, detection, response, and reporting use cases.
• Align onboarded data to organizational standards, schemas, naming conventions, and data governance expectations to support downstream analytics and automation.

What's Needed?

• Minimum of 3 years of relevant experience in cybersecurity, data engineering, log management, or related technology disciplines.
• Hands-on experience onboarding, managing, and validating log sources in SIEM, cloud data platforms, or security analytics environments.
• Strong understanding of data parsing, normalization, transformation, and validation techniques, including regex, JSON, XML, CSV, and handling structured and unstructured data.
• Familiarity with common security telemetry sources, including network, endpoint, identity, application, cloud, and infrastructure logs.
• Experience with cloud platforms and associated logging, monitoring, and analytics services

Key Skills

Education

Any Graduate