Sr. Associate Data Engineer

Career Category Information Systems Job Description ABOUT AMGEN At Amgen, our mission to serve patients drives everything we do. We discover, develop, manufacture, and deliver innovative medicines, and we use technology, data, and collaboration to help teams across the enterprise operate with greater speed, quality, and impact. Role Description: This role is a key part of Amgen’s Global Supply Chain Analytics team, developing data and AI-driven solutions for Supply Chain Business. Responsibilities include designing, building, and managing data, analyzing it for actionable insights, creating reports, supporting data governance, and visualizing information to ensure reliable and efficient data management. The ideal candidate has strong technical skills, experience with big data, and a solid understanding of data architecture and ETL processes. Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline 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 Basic Qualifications and Experience: Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Engineering or equivalent). 5–8 years of work experience in Information Technology, Information Systems, or a related field Experience in the global pharmaceutical industry preferred. Functional Skills: Must-Have Skills Hands on experience with big data technologies and platforms, such as Databricks (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools Proficiency with data visualization platforms like Tableau, Power BI, or matplotlib/seaborn for Python Excellent problem-solving skills and the ability to work with large, complex datasets Good-to-Have Skills: Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Interest in GenAI/LLM technology and building data products that support natural language interfaces Professional Certifications : Certified Data & Analytics professional Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills Ready to Apply for the Job? We highly recommend utilizing Workday's robust Career Profile feature to complete the application process. A link to update your profile is available when you click Apply. You can then complete your Workday profile in minutes with the “Upload My Experience” functionality to upload an updated copy of your resume or you can simply edit the individual sections of your Career Profile. Please note that you should be in your current position for at least 18 months before applying to internal positions. Staff must notify their current manager if invited for an interview. In addition, Staff are ineligible to apply for open positions if (a) their performance is currently being managed on a performance improvement plan (PIP) or other locally utilized formal coaching document or (b) their most recent performance rating was not a “Partially Meets Expectations” or higher. Please visit our Internal Transfer Guidelines for more detailed information .