Data Ops Engineer

pfizer.co.ke

Hybrid
Dataops automation using ci/cd
Production data pipelines in aws or azure
Data observability and monitoring capabilities
Lead the design, build, and operation of data and analytics platforms supporting commercial reporting, advanced analytics, and AI/ML use cases

Job Summary

  • Lead the design, build, and operation of data and analytics platforms supporting commercial reporting, advanced analytics, and AI/ML use cases.
  • Own end-to-end data reliability, including freshness, completeness, accuracy, and avalability across analytics and AI pipelines.
  • Enable data scientists and ML engineers by ensuring trusted, well-governed, and production-ready data assets.

Matching Summary

Lead the design, build, and operation of data and analytics platforms supporting commercial reporting, advanced analytics, and AI/ML use cases.

Skills & Requirements

Must-have

  • DataOps automation using CI/CD
  • production data pipelines in AWS or Azure
  • data observability and monitoring capabilities
  • automated data tests into CI/CD workflows
  • AI/ML use cases
  • data reliability engineering (DRE) and SRE-inspired practices

Nice-to-have

  • MLOps concepts related to data
  • data reliability engineering, SRE
  • large-scale distributed data systems

Key Requirements

  • 8+ years of experience in data engineering, analytics engineering, or DataOps roles
  • Hands-on experience building and operating production data pipelines in AWS or Azure environments
  • Proficiency in programming and scripting (e.g., Python, SQL, Scala, Bash)

Work Rights

Not specified

Tailored Resume

Cover Letter