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Leverages expertise in Data Engineering to influence operational teams, partnering closely with data consumers and producers to ensure quality and usefulness of data assets. You will design and implement scalable data pipelines, data transformation workflows, and leverage advanced technologies to support data-driven initiatives across drug development, commercial and operations. Our target candidate has deep expertise in the following data platforms and competencies: Databricks for Data Engineering (ETL/ELT), SQL for data transformation, dbt (data built tools) or similar for pipeline orchestration, dimensional modeling, GitHub Enterprise or similar for VCS and CI/CD, Atlassian Jira and Confluence for project-based tracking. Our ideal candidate has working experience with Monte Carlo or similar for monitoring data and pipeline quality, and Data Governance experience to support access and privacy needs (CCPA and GDPR).
