
Chief Data Engineer
5 days ago
We are seeking an accomplished data architect to design and implement a robust data warehousing platform for the pharmaceutical industry.
The ideal candidate will have a strong understanding of data modeling, ETL processes, infrastructure design, data governance, and regulatory compliance in the life sciences sector.
This role requires collaboration with IT, data scientists, and business analysts to ensure the data warehouse supports various analytical and operational needs.
Key Responsibilities:- Data Modeling: Design logical and physical data models to ensure efficient data storage and retrieval.
- ETL Processes: Develop and optimize ETL processes to accurately and efficiently move data from various sources into the data warehouse.
- Infrastructure Design: Plan and implement the technical infrastructure, including hardware, software, and network components.
- Data Governance: Ensure compliance with regulatory standards and implement data governance policies to maintain data quality and security.
- Performance Optimisation: Continuously monitor and improve the performance of the data warehouse to handle large volumes of data and complex queries.
- Proven experience in data architecture and data warehousing, preferably in the pharmaceutical industry.
- Strong knowledge of data modeling, ETL processes, and infrastructure design.
- Experience with data governance and regulatory compliance in the life sciences sector.
- Proficiency in using data management products.
- Familiarity with advanced analytics and machine learning techniques.
- Experience in managing semantic and common data layers.
- Knowledge of FDA guidelines, HIPAA regulations, and other relevant regulatory standards.
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