Data Engineer

Data Engineer position at Amgen, responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. The role involves working with large datasets, developing reports, supporting and executing data governance initiatives and visualizing data to ensure data is accessible, reliable, and efficiently managed.

Requirements

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Implement data security and privacy measures to protect sensitive data
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Design and develop data pipelines leveraging Databricks, PySpark, and SQL to ingest, transform, and process large-scale datasets
• Engineer solutions for both structured and unstructured data to enable advanced analytics and insights
• Implement automated workflows for data ingestion, transformation, and deployment using Databricks Jobs and notebooks, with ongoing monitoring and scheduling
• Apply performance optimization techniques, including Spark job tuning, caching, partitioning, and indexing, to improve scalability and efficiency
• Build integrations with multiple data sources, such as SQL databases, APIs, and cloud storage platforms, ensuring seamless connectivity and reliability

Benefits

• Competitive salary
• Health insurance
• Retirement plan
• Paid time off
• Life insurance
• Disability insurance
• Flexible working hours