Associate Data Engineer

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

Role Description:

We are looking for an Associate Data Engineer in RunOps which needs 24X7 support with deep expertise in managing data pipelines to build scalable, high-performance data solutions. The ideal candidate will be responsible for maintaining complex data pipelines, integration frameworks, and metadata-driven architectures that enable seamless access and analytics. This role prefers deep understanding of the big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.

Roles & Responsibilities:

Data Engineer who owns maintenance of complex ETL/ELT data pipelines to process large-scale datasets

Candidate is ready to work 24X7 shifts

Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions

Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring

Exploring and implementing new tools and technologies to enhance ETL platform and performance of the pipelines

Proactively identify and implement opportunities to automate tasks and develop reusable frameworks

Eager to understand the biotech/pharma domains & build highly efficient data pipelines to migrate and deploy complex data across systems

Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value

Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories.

Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle

Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions

Must-Have Skills:

Experience in Data Engineering with a focus on Databricks, AWS, Python, SQL, and Scaled Agile methodologies

Proficiency & Strong understanding of data processing and transformation of big data frameworks (Databricks, Apache Spark, Delta Lake, and distributed computing concepts)

Strong understanding of AWS services and can demonstrate the same

Ability to quickly learn, adapt and apply new technologies

Strong problem-solving and analytical skills

Excellent communication and teamwork skills

Experience with Scaled Agile Framework (SAFe), Agile delivery, and DevOps practices

Good-to-Have Skills:

Data Engineering experience in Biotechnology or pharma industry

Exposure to APIs, full stack development

Experienced with SQL/NOSQL database, vector database for large language models

Experienced with data modeling and performance tuning for both OLAP and OLTP databases

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 Dev Ops

Education and Professional Certifications

Bachelor’s degree and 2 to 5 + years of Computer Science, IT or related field experience

OR

Master’s degree and 1 to 4 + years of Computer Science, IT or related field experience

AWS Certified Data Engineer preferred

Databricks Certificate preferred

Scaled Agile SAFe certification preferred

Soft Skills:

Excellent analytical and troubleshooting skills.

Strong verbal and written communication skills

Ability to work effectively with global, virtual teams

High degree of initiative and self-motivation.

Ability to manage multiple priorities successfully.

Team-oriented, with a focus on achieving team goals.

Ability to learn quickly, be organized and detail oriented.

Strong presentation and public speaking skills.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.