Senior Data Standards Engineer – Evinova

Evinova

Automated elt/etl pipelines
Aws services (lambda, step functions, glue)
Python, advanced sql
Architect and operate automated pipelines that keep the Data Platform current with evolving clinical dictionaries and reference datasets

Job Summary

  • Architect and operate automated pipelines that keep the Data Platform current with evolving clinical dictionaries and reference datasets.
  • Design and own fully automated ELT/ETL pipelines that detect, ingest, validate, and publish new releases of clinical dictionaries without human intervention.
  • Set engineering best practices for the data standards domain and serve as the technical authority on clinical data standards for the Data Platform team.

Matching Summary

Architect and operate automated pipelines that keep the Data Platform current with evolving clinical dictionaries and reference datasets.

Skills & Requirements

Must-have

  • Automated ELT/ETL pipelines
  • AWS services (Lambda, Step Functions, Glue)
  • Python, advanced SQL
  • CDISC, FHIR, ICH M11
  • Clinical dictionaries (MedDRA, WHO Drug)
  • Infrastructure-as-code
  • AI/ML for data engineering

Nice-to-have

  • Agile/Scrum methodologies
  • GxP regulated environments
  • Metadata repositories
  • Platform or product engineering

Key Requirements

  • 8+ years data/software engineering
  • Proficiency in Python
  • Hands-on AWS experience
  • Strong database design skills
  • Thorough knowledge of CDISC, FHIR, USDM, ICH M11
  • Experience applying AI/ML techniques
  • Demonstrated leadership and communication skills

Work Rights

Not specified

Tailored Resume

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