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Tier-1 employer plus a mid-level DataOps role in a metro market with generalist skills increases competition.
Core DataOps skills are transferable, but security monitoring context raises domain specificity.
No explicit years but requires domain-specific DataOps and security pipeline experience, so moderate strictness.
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Implement, operate, and improve security data onboarding, transformation, and validation pipelines within the Security Monitoring & Analytics ecosystem.
Ensure data quality, integrity, lineage, and compliance with governance standards across end-to-end data flows.
Collaborate with cross-functional teams including onboarding engineers, Site Reliability Engineering, DevOps, architects, and security operations to support data-driven cyber defence capabilities.
Experience building and managing data pipelines for ingestion, transformation, and validation in a DataOps or data engineering environment.
Proficiency in scripting languages such as Python and Bash for workflow automation and operational checks.
Experience with data quality validation and monitoring mechanisms.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced working in cyber security data contexts with understanding of reliability and production issue resolution.
Skilled collaborator across engineering, security operations, and business teams operating in complex environments.
Familiarity with cloud platforms (e.g., GCP), data solutions like Elastic Stack, and visualization tools such as Kibana is desirable.