Data Engineer

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver solutions.
• Ensure data quality and integrity through rigorous testing and validation.
• Optimize and tune data processing systems for performance and scalability.
• Implement data governance and security best practices.
• Work with large datasets from various sources, including clinical trials, adverse event reports, and other pharmacovigilance data.
• Develop and maintain documentation for data engineering processes and systems.