What are the responsibilities and job description for the Senior Data Engineer and Analytics Leader position at Grifols Shared Services North America, Inc?
About Grifols Shared Services North America, Inc.
Grifols is a global healthcare company that has been improving the health and well-being of people around the world since 1909. We are leaders in plasma-derived medicines and transfusion medicine, and we develop, produce, and market innovative medicines, solutions, and services in more than 110 countries and regions.
The Senior Data Engineer/SQL SSIS will play a crucial role in overseeing the business unit's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. This individual will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and enabling data-driven decision-making processes.
The successful candidate will independently lead analytical development to extract hidden insights from Real World Medical Data. They will also identify insights from data and metadata sources, interpreting and communicating findings to management. Additionally, they will ensure completeness, critical evaluation, correctness, and integrity of analyses and datasets, establish and maintain data pipeline standards and conventions, and establish and maintain our data engineering documentation.
The ideal candidate will have experience with significant and unique issues where analysis of situations or data requires an evaluation of intangibles. They will also network with key contacts outside their area of expertise and work closely with teams across biostatistics, data science, data engineering, and cloud operations to design and implement data initiatives based on an understanding of their use cases.
Key Responsibilities:
Grifols is a global healthcare company that has been improving the health and well-being of people around the world since 1909. We are leaders in plasma-derived medicines and transfusion medicine, and we develop, produce, and market innovative medicines, solutions, and services in more than 110 countries and regions.
The Senior Data Engineer/SQL SSIS will play a crucial role in overseeing the business unit's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. This individual will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and enabling data-driven decision-making processes.
The successful candidate will independently lead analytical development to extract hidden insights from Real World Medical Data. They will also identify insights from data and metadata sources, interpreting and communicating findings to management. Additionally, they will ensure completeness, critical evaluation, correctness, and integrity of analyses and datasets, establish and maintain data pipeline standards and conventions, and establish and maintain our data engineering documentation.
The ideal candidate will have experience with significant and unique issues where analysis of situations or data requires an evaluation of intangibles. They will also network with key contacts outside their area of expertise and work closely with teams across biostatistics, data science, data engineering, and cloud operations to design and implement data initiatives based on an understanding of their use cases.
Key Responsibilities:
- Design, develop, and maintain data pipelines
- Ensure data quality and integrity
- Enable data-driven decision-making processes
- Lead analytical development to extract insights from Real World Medical Data
- Identify insights from data and metadata sources
