Senior Data Engineer

, 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:

• Master's degree in Computer Science, Information Technology, or a related field with 6+ years of experience or Bachelors degree with 8+ 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

• 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

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