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We are looking for a Senior Data Engineer to design and deliver scalable data products supporting regulatory, operational, and digital transformation initiatives in a pharma environment.
Job Responsibility:
Design, build, and maintain process and analytical data products across MRL, MMD, ERA, and Appian ecosystems
Develop and integrate data pipelines ensuring high data quality, lineage, and reliability
Support regulatory data enablement, including structured data for submission content (e.g. CTD sections S2.5, P3.5)
Collaborate on data virtualization and ingestion into the MRL data lake as part of modernization initiatives
Lead data modeling activities and define data architectures using Delta Lake and Databricks Delta
Translate business and regulatory requirements into clear technical specifications
Work closely with product owners, SMEs, and engineering teams to ensure successful delivery
Requirements:
Hands-on experience with Databricks Delta, Delta Lake architecture, Matillion, dbt, and Power BI
Proficiency in PySpark, Python, SQL, and PL/SQL
Experience designing data models and working with data architecture frameworks (e.g. PowerDesigner)
Solid understanding of data integration, data quality, and lineage concepts
Experience supporting cloud-based and modern data platform architectures
Strong communication skills and ability to work in cross-functional teams