Data Ops Engineer

Pfizer

Not specified; not specified; not specified
Hybrid
8+ years data engineering experience
Production data pipelines aws azure
Ci/cd infrastructure-as-code automation
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.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • 8+ years data engineering experience
  • Production data pipelines AWS Azure
  • CI/CD infrastructure-as-code automation
  • Spark SQL modern data processing
  • Data observability monitoring practices
  • Automated data quality testing standards

Nice-to-have

  • Master's degree in Computer Science
  • MLOps feature pipeline experience
  • Data reliability engineering background
  • Cloud professional certifications
  • SRE-inspired practices adoption

Key Requirements

  • 8+ years experience in data engineering or DataOps
  • Proficiency in Python, SQL, Scala, Bash
  • Experience with AWS or Azure cloud environments
  • Strong communication and cross-functional influence skills

Work Rights

Not specified

Tailored Resume

Cover Letter