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

Merck & Co., Inc.

Hybrid
5+ years data engineering experience
Pharmaceutical or biotech industry background
Hands-on sql and python coding
The role focuses on advancing data platform modernization by migrating from legacy systems to enable fast, governed, and self-service access to insights

Job Summary

  • The role focuses on advancing data platform modernization by migrating from legacy systems to enable fast, governed, and self-service access to insights.
  • Candidates will design, build, and operate reliable ETL/ELT pipelines while collaborating with business teams to deliver high-quality, production-ready data products.
  • Success requires strong ownership of the end-to-end data lifecycle, including implementing governance rules, ensuring compliance, and optimizing platform performance.

Matching Summary

The role focuses on advancing data platform modernization by migrating from legacy systems to enable fast, governed, and self-service access to insights.

Skills & Requirements

Must-have

  • 5+ years data engineering experience
  • Pharmaceutical or biotech industry background
  • Hands-on SQL and Python coding
  • ETL/ELT pipeline development
  • Cloud platform implementation
  • Data modeling and large-scale processing
  • Data quality validation and monitoring

Nice-to-have

  • Experience with Databricks or Dataiku
  • Familiarity with Power BI or ThoughtSpot
  • Self-service analytics marketplace setup
  • Machine learning pipeline support
  • Global matrix environment experience
  • Bias for action and ownership mindset

Key Requirements

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

Work Rights

Not specified

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