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Tier-1 brand, mid-level role, metro hybrid, and broad multi-skill requirements make competition high.
Requires security tooling, incident response, and adversary testing, reducing cross-industry transferability.
Explicit four-year requirement plus mandatory data/security automation and tooling increases shortlisting strictness.
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Architect and maintain scalable, security-first data pipelines and ETL processes using Python and automation tools like Ansible.
Develop sophisticated Python models for threat detection, anomaly identification, and predictive analytics to harden security across the data lifecycle.
Automate deployment of security models and analytics code, perform adversary emulation exercises, and produce audit artifacts to validate ecosystem security.
Bachelor’s degree or 4+ years of work experience.
4+ years of relevant experience, including work or military.
2+ years scripting/programming experience (Python or PowerShell) for automation, data parsing, or API interactions.
Not explicitly mentioned in the JD: Notice period, mandatory certifications, or strict location requirements.
Experienced in building production-grade, modular Python code with a strong focus on automation and security.
Proficient with Ansible for configuration management and automation in data/security environments.
Familiarity with security toolsets (SIEM, IDS/IPS, etc.), cloud data warehouses, Linux environments, and modern DevOps workflows (CI/CD, Git).