Lead Data Engineer

Stryker

Not specified; not specified; not specified
Hybrid
5-8 years data engineering experience
Sql python data warehousing big data
Databricks unity catalog azure data lake
This role is responsible for designing, building, and maintaining infrastructure that collects, stores, and processes raw data for the Joint Replacement franchise

Job Summary

  • This role is responsible for designing, building, and maintaining infrastructure that collects, stores, and processes raw data for the Joint Replacement franchise.
  • The successful candidate will ensure data timeliness, integrity, and cleanliness by monitoring existing and incoming data while implementing systematic validation processes.
  • Candidates must possess deep competencies in SQL, Python, and major cloud technologies like Databricks and Azure Data Factory to support business analysis needs.

Matching Summary

This role is responsible for designing, building, and maintaining infrastructure that collects, stores, and processes raw data for the Joint Replacement franchise.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • 5-8 years data engineering experience
  • SQL Python data warehousing big data
  • Databricks Unity Catalog Azure Data Lake
  • Azure Data Factory Power BI Suite
  • SAP modules Manufacturing Resource Planning
  • Medallion Architecture cloud-based ecosystem

Nice-to-have

  • Strong analytical problem solving skills
  • Effective communication relationship management
  • Experience with RPA automation tools
  • Ability to establish global standards
  • Self-service analytics ecosystem development

Key Requirements

  • Bachelors Degree in Computer Science or similar
  • 5-8 years of experience in data engineering
  • Deep competencies in SQL Python and data warehousing

Work Rights

Not specified

Tailored Resume

Cover Letter