It, Digital Human Health, Data And Analytics, Sr. Data Engineer

Merck & Co., Inc.

Hybrid
5+ years data engineering experience
Sql and python for etl/elt pipelines
Cloud platform pipeline implementation
The role focuses on building reliable and scalable data solutions while transitioning from legacy systems to modern platforms

Job Summary

  • The role focuses on building reliable and scalable data solutions while transitioning from legacy systems to modern platforms.
  • Candidates must possess strong ownership skills to independently design, build, and troubleshoot complex data workflows in a fast-evolving healthcare environment.
  • Success requires translating business needs into practical data products that enable self-service analytics and ensure strict governance compliance.

Matching Summary

The role focuses on building reliable and scalable data solutions while transitioning from legacy systems to modern platforms.

Skills & Requirements

Must-have

  • 5+ years data engineering experience
  • SQL and Python for ETL/ELT pipelines
  • Cloud platform pipeline implementation
  • Data modeling and large-scale processing
  • Legacy system migration to modern platforms
  • Data quality validation and monitoring

Nice-to-have

  • Experience with Databricks or Dataiku
  • Self-service analytics marketplace enablement
  • Machine learning pipeline support
  • Global matrix environment collaboration
  • Power BI or ThoughtSpot integration

Key Requirements

  • 5+ years analytical functional roles in pharma/biotech
  • 5+ years proven work as data engineer or architect
  • B.S. or M.S. in Computer Science or related field

Work Rights

Not specified

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