Sr Data Engineer

Amgen is looking for a highly motivated Senior Data Engineer to design & develop complex data pipelines, solutions and frameworks. The ideal candidate will be responsible for designing, developing, and optimizing data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics.

Requirements

• Design, develop, and maintain scalable ETL/ELT pipelines to support structured, semi-structured, and unstructured data processing across the Enterprise Data Fabric.
• Implement real-time and batch data processing solutions, integrating data from multiple sources into a unified, governed data fabric architecture.
• Optimize big data processing frameworks using Apache Spark, Hadoop, or similar distributed computing technologies to ensure high availability and cost efficiency.
• Work with metadata management and data lineage tracking tools to enable enterprise-wide data discovery and governance.
• Ensure data security, compliance, and role-based access control (RBAC) across data environments.
• Optimize query performance, indexing strategies, partitioning, and caching for large-scale data sets.
• Develop CI/CD pipelines for automated data pipeline deployments, version control, and monitoring.
• Implement data virtualization techniques to provide seamless access to data across multiple storage systems.
• Collaborate with cross-functional teams, including data architects, business analysts, and DevOps teams, to align data engineering strategies with enterprise goals.
• Stay up to date with emerging data technologies and best practices, ensuring continuous improvement of Enterprise Data Fabric architectures.