Description

Design and maintain scalable data pipelines that ingest, normalize, and enrich security telemetry from multiple cyber defense platforms. Engineer reliable batch and near real-time data flows to support threat detection, incident response, and executive reporting. Ensure data quality, lineage, and consistency across security analytics datasets. Develop curated datasets and feature stores to enable advanced threat hunting and resiliency insights. Support incident response by ensuring timely availability of high-fidelity security data.

Responsibilities

• Build and maintain ETL/ELT pipelines for structured and semi-structured data including logs, events, and telemetry.
• Develop data models and feature stores to support security analytics and threat hunting.
• Ensure data quality, lineage, and consistency across all security analytics datasets.
• Support incident response and post-incident analysis with timely data availability.
• Optimize data flows for threat detection and cyber resiliency analysis.

Required Skills

• 5+ years of experience in data engineering, analytics engineering, or data platform development.
• Proficiency in SQL for complex data querying and manipulation.
• Strong programming skills in Python or Scala.
• Experience designing and building ETL/ELT data pipelines.
• Ability to work with structured and semi-structured data formats.
• Familiarity with cloud or enterprise data platforms and analytics ecosystems.

Key Skills

Education

Any Graduate