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Data Automation Specialist

3 weeks ago

Makati City, National Capital Region, Philippines beBeeSecurity Full time $120,000 - $150,000
Job Opportunity

We are seeking a skilled professional to drive the automation of our data pipelines, dashboards, and reporting infrastructure across a diverse set of security data sources.

In this role, you will play a critical part in reducing manual effort, increasing data reliability, and delivering timely, actionable insights to security teams and stakeholders.

Key Responsibilities:
  • Audit and automate end-to-end data extraction, transformation, and loading processes from various sources including databases, APIs, and third-party tools.
  • Benchmark and maintain scalable, fault-tolerant pipelines to collect, normalize, and enrich security data.
  • Develop event-driven and scheduled data workflows to ensure timely delivery of critical security metrics and insights.
  • Build automated classifiers, scoring systems, or recommendation engines that support threat detection, vulnerability management, or incident prioritization.
  • Utilize large language models (LLMs) or embeddings where appropriate to enrich and interpret semi-structured log data.
  • Automate the generation and deployment of interactive dashboards and reports using tools like Apache Superset, Grafana, or similar.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, AI/ML, or Information Security.
  • 5+ years of experience in data engineering or backend development with hands-on automation experience.
Essential 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 (e.g., Airflow, Dagster).
  • Familiarity with ML tools (e.g., scikit-learn, XGBoost, TensorFlow, or LLM APIs) and their application to structured data.
  • Experience with security data sources (e.g., SIEMs, vulnerability scanners) and cloud platforms (OCI, AWS, Azure).
  • Comfortable with version control, CI/CD pipelines, and containerized environments (Docker/Kubernetes).