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2 weeks ago
This role involves driving the automation of our data pipelines, dashboards, and reporting infrastructure across a diverse set of security data sources.
Key Responsibilities:- Automating Data Pipelines: Automate end-to-end data extraction, transformation, and loading (ETL) processes from various sources including databases, APIs, and third-party tools.
- Pipeline Development: Build and maintain scalable, fault-tolerant pipelines to collect, normalize, and enrich security data.
- Real-Time Data Delivery: Develop event-driven and scheduled data workflows to ensure timely delivery of critical security metrics and insights.
- Classification and Scoring: Implement automated classifiers, scoring systems, or recommendation engines that support threat detection, vulnerability management, or incident prioritization.
- Log Data Enrichment: Utilize large language models (LLMs) or embeddings where appropriate to enrich and interpret semi-structured log data.
- Education: Bachelor's or Master's degree in Computer Science, Data Engineering, AI/ML, or Information Security.
- Experience: 5+ years of experience in data engineering or backend development with hands-on automation experience.
- Technical Skills: Proficient in Python and/or Go, with experience building scalable data systems and automation scripts. Strong knowledge of SQL, data modeling, and pipeline orchestration frameworks. Familiarity with ML tools and their application to structured data.
- Domain Knowledge: Experience with security data sources and cloud platforms.
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