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Generalist Databricks/AWS/Python data role, mid-level (3+ years), increases candidate competition.
Requires pharma domain and GxP/GDPR compliance knowledge, limiting cross-industry transferability.
Mandatory Databricks, PySpark, AWS, pharma domain and regulatory experience create strict shortlisting filters.
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Build, optimize, and maintain scalable data pipelines and architectures on Databricks.
Collaborate with Stakeholder Success Teams and data architects to deliver data solutions and ensure smooth integration.
Ensure data quality, security, compliance (GxP, GDPR), and monitor pipeline performance including documentation.
Bachelor's degree in Computer Science, Engineering, or related field.
Minimum 3 years of experience in data engineering.
Proficiency with Databricks, PySpark, AWS, Python, and strong SQL skills.
Experience in pharmaceutical industry data and knowledge of data warehousing and ETL processes.
Experienced in working with large-scale data platforms in regulated environments like pharmaceuticals.
Capabilities in cross-team collaboration with data architects and domain-specific stakeholders for complex integration.
Focused on delivering compliant, secure, and performant data solutions within global industry standards.