Data Engineer

Join Amgen's mission of serving patients by designing, developing, and optimizing data pipelines, data integration frameworks, and metadata-driven architectures in a collaborative, innovative, and science-based culture.

Requirements

• Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets
• Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems
• Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments
• Ingest and transform structured and unstructured data from databases, APIs, logs, event streams, images, pdf, and third-party platforms
• Ensure data integrity, accuracy, and consistency through rigorous quality checks and monitoring
• Expert in data quality, data validation and verification frameworks
• Innovate, explore and implement new tools and technologies to enhance efficient data processing
• Proactively identify and implement opportunities to automate tasks and develop reusable frameworks
• Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value
• Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories
• Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle
• Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions

Benefits

• Competitive and comprehensive Total Rewards Plans
• Inclusive environment of diverse, ethical, committed and highly accomplished people
• Collaborative culture
• Opportunities for professional and personal growth and well-being