Sr. Security Data Engineer

2 - 3 years

4 - 5 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Design, build and maintain the enterprise security data platform - including data ingestion, underlying data pipelines and architectures, visualization/ monitoring to embedding into processes with stake-holders to ensure timely intervention. you'll define data contracts and quality SLAs, automate lineage/privacy/access controls, support surge analytics, and continually improve reliability, performance, and cost.
This position is an individual contributor reporting to the Director, Platform Security.

 

Responsibility

  • Architect unified data models (assets, identities, findings, events); maintain metric catalog & semantic layer
  • Build/operate ETL + streaming pipelines; enforce data-quality monitoring, SLAs and lineage
  • Define data contracts, versioning, and schema evolution policies; automate tests
  • Implement privacy/access/retention controls; produce audit-ready evidence
  • Publish curated marts for posture, exposure, incident, and SDLC analytics
  • Instrument pipeline observability (freshness, failure budgets); handle on-call/runbooks
  • Deliver self-serve dashboards; resolve metric disputes with source-of-truth logic
  • Optimize cost/performance; recommend build-vs-buy; plan upgrades/re-platforming
  • Partner with AppSec, Platform, Exposure, SOC/Risk, and PSIRT on analytics use cases
  • Support surge/crisis analytics (major CVEs/incidents); deliver T0 closure reporting
  • Tools & Ops: operate warehouses/queues to SLOs; backups/DR; access reviews; capacity & cost stewardship; vendor escalations with audit-ready logs.
  • Delivers end-to-end data products with documented SLAs; improves data quality and freshness
  • Leads a domain (eg, posture mart); mentors juniors; develops playbooks and data contracts

What you bring

Basic

  • bachelors or masters degree (or equivalent experience) in Computer Science, Data Analytics, or a related field
  • 8+ years of industry experience, with a strong focus on data engineering and large-scale data systems
  • Proficient in SQL and Python; proven ability to build and maintain production-grade ETL and streaming data pipelines, as we'll as APIs
  • Experience with dimensional and data vault modeling plus streaming technology
  • Strong background in data governance, including lineage and metadata management and implementation of privacy, access, and retention controls
  • Demonstrated experience with dashboarding and semantic layer tools
  • Skilled in defining and maintaining SLOs, monitoring and alerting, and conducting root cause analyses for data systems
  • Excellent communication skills, able to collaborate effectively with engineering teams and executives, and resolve metric disputes using evidence-based approaches

Preferred

  • Relevant experience in cybersecurity
  • Familiarity with security metrics and tools across the SDLC.
  • Familiarity with security frameworks and standards (eg, NIST, MITRE ATTCK).
  • Hands-on work with cloud security tools and best practices.
  • Knowledge of regulatory compliance for security data (eg, GDPR, HIPAA).
  • Relevant security certifications (eg, CISSP, AWS Security)

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