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Job Description
Structured overview of role & requirementsAbout This Role
Architect, build, and maintain high-volume security data pipelines for SIEM, SOAR, UEBA, and detection engineering use cases.
Lead data ingestion, enrichment, normalisation, correlation, and enforce data standards across security telemetry.
Partner with security and engineering teams and manage vendor relationships to deliver scalable, governed, and optimised data solutions.
Minimum Requirements
Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
10+ years programming experience with Python, JavaScript, SQL, and AI-assisted coding.
4+ years experience with ETL tools such as Cribl, Kafka, or Kinesis.
2+ years of database engineering experience focused on security data and analytics.
Ideal Candidate Profile
Experienced in handling large-scale datasets for batch and streaming data in security contexts.
Proficient in ETL/ELT pipelines, data validation, quality checks, with knowledge of industry data standards like OCSF and SCIM.
Demonstrates leadership in cross-functional collaboration, documentation, and driving scalable, governed security data platforms.
