Senior Manager, Data Operations Engineer

Pfizer Venezuela S.A

Unknown, Unknown, Venezuela
Hybrid
6+ years experience in data engineering
Production data pipelines in aws or azure
Modern data processing frameworks like spark
Pfizer Venezuela S.A is seeking a Senior Manager, Data Operations Engineer to lead the design and execution of data and analytics platforms that support commercial reporting and advanced analytics. The ideal candidate will have extensive experience in data engineering, familiarity with AWS or Azure, and a strong background in data governance and reliability practices

Job Summary

  • This role involves architecting and implementing AI solutions at scale to support Pfizer's digital transformation strategy.
  • The team focuses on leveraging cutting-edge technology to enhance customer experiences for colleagues, patients, and physicians.
  • Candidates will lead operational pipelines ensuring reliability, scalability, and performance across batch and streaming data ingestion.

Matching Summary

Match Score: 85

Pfizer Venezuela S.A is seeking a Senior Manager, Data Operations Engineer to lead the design and execution of data and analytics platforms that support commercial reporting and advanced analytics. The ideal candidate will have extensive experience in data engineering, familiarity with AWS or Azure, and a strong background in data governance and reliability practices.

Skills & Requirements

Must-have

  • 6+ years experience in data engineering
  • Production data pipelines in AWS or Azure
  • Modern data processing frameworks like Spark
  • CI/CD automation for data platforms
  • Data pipeline orchestration and monitoring
  • Automated data quality testing practices
  • Python SQL Scala Bash programming

Nice-to-have

  • Experience supporting AI ML workloads
  • Familiarity with MLOps concepts
  • Background in data reliability engineering
  • Cloud professional certifications
  • Generative AI tool usage experience
  • Understanding of responsible AI practices

Key Requirements

  • BA/BS degree required
  • 6+ years in data engineering or DataOps
  • Strong leadership capabilities demonstrated

Work Rights

Not specified

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