Sr. Associate Data Engineer role in Amgen's Global Supply Chain Analytics team, developing advanced data and AI products in logistics, designing, building, and maintaining large datasets to generate actionable business insights.
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
- Contribute to the creation of metric dashboards, self-serve analytics, and business insights using Tableau or Power BI
- 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
- Adhere to best practices for coding, testing, and designing reusable code/component
- Exploratory data analysis, understand business knowledge, do feature engineering
- Support generation of annual product review documents, regulatory inspections, and process documentation
- Work with data engineers on data quality assessment, data cleansing and data analytics