Senior Data Engineer
Amgen
Amgen seeks a Senior Data Engineer to design and deliver scalable data pipelines and lakehouse solutions for medical data and analytics. The role involves leading end-to-end data architecture, collaborating across global teams, and ensuring data quality, security, and compliance in a cloud-based environment.
Responsibilities
- Design, develop, and support batch and near-real-time data pipelines across multiple layers
- Design end-to-end data architecture for cloud-based lakehouse solutions on Databricks and AWS
- Build data models, curated datasets, and API-based integrations for analytics and reporting
- Own data quality, observability, performance, scalability, and regulatory compliance including HIPAA and GDPR
- Mentor engineers, conduct code reviews, and provide technical guidance in an Agile environment
Requirements
- 9+ years professional experience in data engineering or platform engineering
- Bachelor's degree in computer science, engineering, or related field
- Proficiency with Python, SQL, and Apache Spark or equivalent
- Demonstrated experience with Databricks and AWS cloud platforms
- Strong expertise in data modeling, ETL/ELT design, and workflow orchestration
- Experience designing and delivering production-grade data pipelines
- Ability to communicate technical concepts to diverse audiences
Vaga publicada 10 dias atrás
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