Data Ops Engineer

Pfizer

Hybrid
8+ years data engineering experience
Production data pipelines in aws or azure
Ci/cd and infrastructure-as-code implementation
Lead the design, build, and operation of data and analytics platforms supporting commercial reporting and AI use cases at Pfizer

Job Summary

  • Lead the design, build, and operation of data and analytics platforms supporting commercial reporting and AI use cases at Pfizer.
  • Own end-to-end data reliability including freshness, completeness, accuracy, and availability across all analytics and AI pipelines.
  • Coach engineers on data pipeline design, automation, and secure compliant data handling while establishing strong engineering discipline.

Matching Summary

Lead the design, build, and operation of data and analytics platforms supporting commercial reporting and AI use cases at Pfizer.

Skills & Requirements

Must-have

  • 8+ years data engineering experience
  • Production data pipelines in AWS or Azure
  • CI/CD and infrastructure-as-code implementation
  • Modern data processing frameworks like Spark
  • Automated data quality testing standards
  • Python SQL Scala Bash proficiency

Nice-to-have

  • Master's degree in Computer Science
  • Experience with MLOps concepts
  • Background in data reliability engineering
  • Cloud professional certifications
  • SRE-inspired practices adoption

Key Requirements

  • 8+ years experience in data engineering or DataOps
  • Strong hands-on production pipeline experience
  • Proficiency in Python, SQL, Scala, or Bash
  • Experience with cloud environments AWS or Azure
  • Demonstrated secure data handling and governance

Work Rights

Not specified

Tailored Resume

Cover Letter