Data Engineer I

Bristol Myers Squibb

50% onsite
Proficiency in sql and python
Experience building etl/elt pipelines
Hands-on experience with databricks
This role involves designing, building, and supporting reliable batch and incremental data pipelines for commercial data products

Job Summary

  • This role involves designing, building, and supporting reliable batch and incremental data pipelines for commercial data products.
  • The position requires transforming raw data into high-quality, analytics-ready tables while applying data modeling best practices and governance standards.
  • Bristol Myers Squibb offers a wide variety of competitive benefits and programs to support employees' goals both at work and in their personal lives.

Matching Summary

This role involves designing, building, and supporting reliable batch and incremental data pipelines for commercial data products.

Skills & Requirements

Must-have

  • Proficiency in SQL and Python
  • Experience building ETL/ELT pipelines
  • Hands-on experience with Databricks
  • Knowledge of Delta Lake concepts
  • Understanding of data modeling best practices
  • Familiarity with cloud data engineering fundamentals

Nice-to-have

  • Biopharma or pharmaceutical industry experience
  • Experience with commercial pharma datasets
  • Familiarity with BI/visualization tools like Tableau
  • Strong problem-solving and communication skills
  • Ability to work with technical and business partners

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 1–3 years of hands-on experience in data engineering
  • Experience processing large-scale structured and semi-structured datasets

Work Rights

Not specified

Tailored Resume

Cover Letter