**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) setting, 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

📌 Data Engineer (Hyderabad)
🏢 AMGEN
📍 Hyderabad