Master Zscaler SecOps; translate customer needs into actionable integration plans.
Onboard and map diverse cybersecurity and IT data sources with SMEs to align use cases.
Own data quality and pipeline integrity; audit environments and define remediation steps.
Leverage Python, APIs, and AI agents to configure and automate data transformations.
Communicate findings to stakeholders and drive product improvements.

🎯 Requirements

Thrive in ambiguity; build the path as you go.
Own outcomes with bias for action and integrity.
Problem-solver focused on finding solutions.
Hands-on experience building cybersecurity data pipelines (ingestion, mapping, normalization).
Proficiency in Python and SQL for data analysis and automation.
Foundational knowledge of AI/ML technologies.

🎁 Benefits

Various health plans
Time off and sick leave
Parental leave options
Retirement options
Education reimbursement
In-office perks

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