Data Engineer

Career Category Information Systems Job Description Data Engineer   Role Name:  Data Engineer  Department Name:  AI & Data Science  Role Description:   Let’s do this. Let’s change the world. In this vital role you will be responsible for the development and implementation of our data strategy. The ideal candidate possesses a strong blend of technical expertise and data-driven problem-solving skills. As a Data Engineer, you will play a crucial role in building, and optimizing our data pipelines and platforms in a SAFE Agile product team. The Data Engineer will design, develop, and maintain data engineering applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable data engineering solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. You’ll work as part of a collaborative team and learn from experienced engineers.  You will be part of a team specifically focusing on enterprise resource management capabilities. Amgen is using fully integrated and best-in-class technologies, having various enterprise platforms such as Databricks and Mulesoft; enterprise collaboration platforms such as O365, SharePoint Online and MS Teams, as well as vertical-specific platforms in R&D, Operations, Process Development and Commercial/Marketing areas.  Roles & Responsibilities:   Design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.  Deliver for data pipeline projects from development to deployment, managing, timelines, and risks.  Ensure data quality and integrity through meticulous testing and monitoring.  Leverage cloud platforms (AWS, Databricks) to build scalable and efficient data solutions.  Work closely with product team, and key collaborators to understand data requirements.  Enforce to data engineering industry standards and standards.  Experience developing in an Agile development environment, and comfortable with Agile terminology and ceremonies.  Familiarity with code versioning using GIT and code migration tools.  Familiarity with JIRA.  Stay up to date with the latest data technologies and trends  Basic Qualifications and Experience:   Bachelor’s degree in Computer Science, Information Technology, or a related field with 5-9 years of experience  Mastery with at least one programming language (Python, Scala, or similar)  Experience with data engineering platforms like Databricks  Experience with vibe coding using large language models for production systems  Broad interest in various Amgen preferred platforms/tools  Eagerness to learn and grow in a data engineering environment  Ability to work well within a team and communicate effectively  Functional Skills:   Must-Have Skills   Efficient SQL and maintainable Python. Build end-to-end pipelines using orchestration tools. Apply data modeling, validation, logging, and monitoring. Troubleshoot failures and own delivery with limited guidance. Experienced with data modelling and structuring  Experienced working with ETL orchestration technologies  Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and DevOps  Familiarity with SQL/NOSQL database  Experience in Agile or Scrum methodologies  Experience with cloud-based platforms and system integration  Experience with version control systems like Git & Release management tools  Direct experience in working in global teams  Good-to-Have Skills:   Fluent in enterprise collaboration platforms such as O365, SharePoint Online and MS Teams  Exposure to incorporating AI tools in daily activities as well as proactively seeking opportunities to utilize and extend AI toolsets into development work  Experience in analytics or business intelligence roles  Certifications related to Databricks, Agile or any software or cloud platform are advantageous  Soft Skills:   Excellent analytical and troubleshooting skills  Comfortable to work effectively with global, virtual teams  High degree of initiative and self-motivation  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.  .