Principal Data Engineer (RDU IT Data Engineering)

• Develop and maintain high-quality data integration solutions to support business needs and strategic initiatives.
• Collaborate with IT teams to identify data needs, structure problems, and deliver integrated information solutions.
• Ensure the quality and security of Alexion s data through the implementation of best practices in data governance and compliance.
• Stay abreast of industry trends and emerging technologies to drive continuous improvement in data engineering practices.

Essential Skills/Experience:

• masters Degree in Computer Science, Information Systems, Engineering, or a related field.
• A minimum of 10 years of experience in data engineering, data management, and analytics.
• Proven track record of delivering large-scale, scalable, secure, and robust data solutions in the pharmaceutical or life sciences industry.
• Strong experience with SQL, Python, ETL/ELT frameworks, and building data orchestration pipelines.
• Expertise in cloud architectures, particularly AWS.
• Proficiency in Snowflake and its features (resource monitors, RBAC controls, etc), dbT, Fivetran, Apache Airflow.
• Strong analytical, problem-solving, and organizational skills.
• Ability to effectively communicate complex data insights and solutions to diverse audiences, including senior leaders.
• Advanced understanding of data warehousing methodologies and data modeling techniques (Kimball, 3NF, Star Schema, ).
• Understanding of data governance, compliance standards (GDPR, HIPAA), and FAIR and TRUSTED data principles.

Desirable Skills/Experience:

• Extensive experience (5+ years) within the biotech/pharma industry.
• Familiarity with Kubernetes, Docker/containerization, and Terraform.
• Knowledge of data quality and observability tools and methodologies to enhance data reliability