India \- Hyderabad
JOB ID: R\-246536 LOCATION: India \- Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jun. 11, 2026 CATEGORY: Engineering
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**.
- 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
We are all different, yet we all use our unique contributions to serve patients.
- 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)
- 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**
- 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