Senior Data Engineer

• 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 Senior 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.
• Youll 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:

• Masters degree in Computer Science, Information Technology, or a related field
• 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

• 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
• Proficient experience in Agile or Scrum methodologies
• Proficient with cloud-based platforms and system integration
• Proficient version control systems like Git & Release management tools
• Direct experience in managing and coaching technical staff
• Direct experience in working in global teams

Good-to-Have Skills:

• Fluent in enterprise collaboration platforms such as O365, SharePoint Online and MS Teams
• Proficiency in 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