ABOUT AMGENAmgen 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.What we expect of youRole Description:We are looking for an Associate Data Engineer with deep expertise in writing data pipelines to build scalable, high-pe

What you will do

• Owns development of complex ETL/ELT data pipelines to process large-scale datasets
• 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

What we expect of you

• 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

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 (Good-to-Have)
• Exposure to APIs, full stack development (Good-to-Have)
• Experienced with SQL/NOSQL database, vector database for large language models (Good-to-Have)
• Experienced with data modeling and performance tuning for both OLAP and OLTP databases (Good-to-Have)
• 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 (Good-to-Have)