Data Engineer

Career Category

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

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