Data Steward Engineer

Workday Lilly

**
Azure databricks expertise
Pyspark and spark sql
Data profiling and quality assessment
** Lilly is seeking a Data Steward Engineer to enhance their pharma manufacturing data analytics platform. The ideal candidate will have extensive experience in data stewardship, particularly within the pharmaceutical sector, and proficiency in Azure Databricks and data governance practices. **

Job Summary

  • Serve as the technical and functional data steward for our pharma manufacturing data analytics platform, built on Azure Databricks.
  • Partner closely with manufacturing scientists, quality engineers, data engineers, and business analysts to continuously improve data trust and usability across the analytics organization.
  • Define and enforce data quality rules, thresholds, and monitoring dashboards within the Azure Databricks environment, and establish alerting mechanisms to detect data quality degradations proactively.

Matching Summary

Match Score: 75

** Lilly is seeking a Data Steward Engineer to enhance their pharma manufacturing data analytics platform. The ideal candidate will have extensive experience in data stewardship, particularly within the pharmaceutical sector, and proficiency in Azure Databricks and data governance practices. **

Skills & Requirements

Must-have

  • Azure Databricks expertise
  • PySpark and Spark SQL
  • data profiling and quality assessment
  • data lineage and metadata documentation
  • GMP data integrity principles
  • manufacturing data systems

Nice-to-have

  • data translator role
  • collaboration with stakeholders
  • GxP-regulated data environment
  • continuous improvement of data trust

Key Requirements

  • 6+ years in data engineering, stewardship, or management
  • Minimum 5+ years with manufacturing data systems
  • Minimum 3+ years with Azure Databricks or comparable cloud platform
  • Bachelor's degree or equivalent practical experience
  • Proficiency in Python and SQL

Work Rights

Not specified

Tailored Resume

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