Senior Data Engineer building data pipelines and analytics solutions in a healthcare-focused R&D environment. Collaborating with cross-functional teams to support AI and scientific advancement.
Responsibilities
Collaborate with cross-functional teams to design, develop and maintain data pipelines and analytics solutions
Design and build a foundational platform for a modern data lake architecture
Develop automated tests to ensure data accuracy and quality
Continuously improve the platform to boost developer productivity
Design and implement innovative digital solutions focused on delivering business insights and patient care in real time
Requirements
Strong proficiency in Python programming
Extensive experience with Databricks on Azure or AWS
Experience in using Spark, including Spark SQL
Familiarity with DevOps practices — CI/CD, infrastructure-as-code, automated testing
Exposure to data mesh or domain-oriented data architecture
Experience working with OMOP or other clinical data standards
Working in pharma domain or other regulated area is considered an advantage
Must be fluent in English in both writing and speaking.
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