Description
**What you will do**
Let’s do this. Let’s change the world.
In this vital role as **Data Engineer** at Amgen, you will play a key role in designing, building, and maintaining scalable data solutions that enable trusted insights and support critical business decisions.
This position is **focused on supporting the OUS Field Engagement Team** , working closely with stakeholders across the **JAPAC and ELMAC regions** . You will collaborate with global and regional teams to deliver data solutions that support field operations, customer engagement, and analytics use cases in a complex, multi-region environment.
You will work in an Agile (SAFe) environment, contribute to supporting enterprise data initiatives primarily built on **Informatica ETL** , including the **future migration from Informatica to Databricks** .
**Key Responsibilities**
+ Design, develop, maintain, and optimize **ETL pipelines using Informatica** , ensuring high data quality, performance, and reliability
+ Support and contribute to the **future transition of Informatica workloads to Databricks** (Spark, Delta Lake)
+ Build and enhance data pipelines for ingestion, transformation, and processing of large-scale datasets supporting **OUS Field Engagement use cases**
+ Collaborate with Data Architects, Business SMEs, Product Owners, and Senior Data Engineers across **JAPAC and ELMAC regions** to deliver end-to-end data solutions
+ Participate actively in a **SAFe/Agile team** , contributing to PI planning, sprint execution, and continuous improvement
+ Support **data governance, metadata management, and data quality initiatives**
+ Identify, troubleshoot, and resolve complex data issues across systems
+ Apply best practices for coding, testing, documentation, and reusable component design
+ Translate business and technical requirements into well-structured development tasks
+ Execute unit and integration testing to ensure solution robustness and compliance with quality standards
+ Monitor data pipelines and applications, supporting ongoing maintenance and performance optimization
+ Contribute to CI/CD and DevOps practices for data engineering solutions
+ Mentor junior team members and promote data engineering best practices
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications**
+ Bachelor’s or Master’s degree in Computer Science, Data Engineering, IT, or a related field
+ **4–7 years of relevant data engineering experience** , with strong hands-on ETL background
**Preferred Qualifications**
+ Strong experience with **Informatica (PowerCenter, IICS)**
+ Exposure to **Databricks, Apache Spark, PySpark, or Spark SQL**
+ Familiarity with **SAFe or Agile delivery models**
+ Experience or exposure to **Master Data Management (MDM)**
+ Experience with **Veeva systems** (nice to have)
+ Experience supporting **Field Engagement or Commercial data domains** (preferred)
**Must-Have Skills**
+ Advanced ETL development experience, particularly with **Informatica**
+ Strong SQL skills for data extraction, transformation, and analysis
+ Solid understanding of data modeling and entity relationships
+ Working knowledge of Python and/or PySpark
+ Experience supporting production data pipelines and resolving data issues
+ Ability to work effectively in **global, cross-regional teams**
**Soft Skills**
+ Strong problem-solving and analytical mindset
+ Excellent communication and collaboration skills, including with **global stakeholders across regions**
+ Proven team player with experience in Agile/SAFe environments
+ High attention to detail and commitment to data quality
+ Ability to manage priorities and work in a fast-paced environment
+ Willingness to mentor junior engineers and share knowledge
+ Adaptable to evolving technologies and business needs
