Sr. Associate Software Engineer

Career Category

Engineering

Job 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

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