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Mid-level data engineer with some pharma/MDM specialization yields moderate applicant competition.
Experience with regulated pharmaceutical data, Veeva/MDM and domain-specific governance makes industry background strongly preferred.
Multiple mandatory Azure/Databricks skills, 5+ years experience, and regulated environment increase screening strictness.
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Design and implement scalable ETL/ELT data pipelines using Azure Data Factory, Azure Databricks, and related Azure technologies.
Develop and optimize complex SQL queries and support data integration and Master Data Management initiatives in regulated environments.
Collaborate with cross-functional teams to translate business requirements into technical data solutions and maintain data governance standards.
5+ years of experience in Database Development, Master Data Management, and Data Integration.
Hands-on expertise with Azure data integration tools including Azure Data Factory, Azure Functions, Logic Apps, Azure Databricks, and PySpark.
Proficient in SQL development with experience in Azure or other relational databases.
Work Experience Required: 5+ years
Experience working in regulated and compliance-driven industries, preferably Pharmaceutical or Life Sciences sectors.
Familiarity with software development life cycle, CI/CD, and Azure DevOps/GitHub integration in cloud environments.
Ability to operate within structured, process-driven, and governance-focused organizations supporting multiple clients.