Summary
Are you ready to shape the future of data engineering in life sciences As a Data Engineer Associate Director, you'll lead the data engineering team and support the data science team inbuilding scalable Commercial solutions to enhance the medical/sales representative actionable. You'll be at the forefront of cloud-based data integration, driving automation, quality, and efficiency while collaborating with cross-functional teams to deliver impactful insights. This is your opportunity to make a real difference in global healthcare through cutting-edge data engineering.
About The Role
Major accountabilities:
- Design scalable data ingestion and integration solutions for TRD data platforms.
- Ensure data quality by applying business and technical rules throughout its lifecycle.
- Identify and implement automation opportunities to streamline data processes.
- Build data pipelines using Python and CI/CD workflows for seamless data integration.
- Collaborate with solution architects and vendors to align with best practices.
- Apply data management principles including modeling, harmonization, and ontology standards.
- Manage metadata effectively and leverage enterprise ontology tools.
- Ensure adherence to FAIR data principles across applicable projects.
- Conduct feasibility assessments and define project requirements with stakeholders.
- Support end-user training and promote self-service data capabilities.
Minimum Requirements
- University degree in Informatics, Computer Sciences, Life Sciences, or a related field.
- Minimum 14 years of experience in data engineering with good understanding of healthcare or life sciences. Experience with Commercial is a plus.
- Proven expertise in Python and R for ETL and BI data product development.
- Strong experience with Snowflake, DevOps, AWS cloud data integration and third-party ingestion tools.
- Proficiency in SQL for relational databases such as Oracle and/or MS SQL Server.
- Hands-on experience with ETL tools like Alteryx and BI platforms like Power BI.
- Solid understanding of data architecture, modeling, and analytics concepts.
- Familiarity with Agile methodologies
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
