Data Security Lead Engineer

Verizon Verizon · Telecom · Chennai, India +1

This role focuses on building and automating security data pipelines and Python models for threat detection and response within Verizon's Global Infrastructure. It involves developing predictive models for insights and threat intelligence, automating security by design, and performing intelligence-driven testing.

What you'd actually do

  1. Designing and maintaining robust, scalable data pipelines and ETL processes using Python, ensuring security is baked into the data architecture from inception.
  2. Identifying and eliminating manual bottlenecks in the data lifecycle through custom scripting and CI/CD integration, automating the deployment of both security models and analytics code.
  3. Performing complex data analysis to identify trends and patterns, building predictive models that serve a dual mission: providing actionable business insights and high-fidelity threat intelligence.
  4. Developing sophisticated Python-based models to detect anomalies and hidden patterns within massive datasets, translating raw data into defensive signals.
  5. Designing and executing intelligence-driven testing and adversary emulation exercises to validate security controls, including adversarial stress-testing of AI models to ensure resilience against manipulation and evasion.

Skills

Required

  • Python
  • Ansible
  • SQL
  • Linux
  • Bash
  • Git

Nice to have

  • pandas
  • numpy
  • scikit-learn
  • Snowflake
  • BigQuery
  • Redshift
  • Airflow
  • Dagster
  • Prefect
  • SIEM
  • Antivirus
  • Firewalls
  • WAF
  • Proxy
  • IDS/IPS
  • DLP
  • security incident log analysis
  • malware analysis
  • cyber security incident response
  • Network+
  • Security+
  • GSEC
  • CISSP
  • CISM

What the JD emphasized

  • Python
  • security models
  • data pipelines
  • automation
  • predictive models
  • threat intelligence
  • security controls

Other signals

  • Develops Python models for threat detection and response
  • Builds predictive models for business insights and threat intelligence
  • Designs and executes intelligence-driven testing and adversary emulation exercises
  • Translates TTPs into analytical requirements and security models