Sr. Associate Data Engineer

Career Category Information Systems Job Description 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:   As part of the   cybersecurity   organization, the Data Engineer   is responsible for   designing, building, and   maintaining   data infrastructure to support data-driven decision-making. This role involves working with large datasets, developing reports, executing data governance initiatives, and ensuring data is accessible, reliable, and efficiently managed.   Th e   role sits at the intersection of data infrastructure and business insight delivery, requiring   the Data Engineer to   design and build robust data pipelines while also translating data into meaningful visualizations for stakeholders across the organization.   The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture, ETL processes, and cybersecurity data frameworks.   Roles & Responsibilities:     Design, develop, and   maintain   data solutions for data generation, collection, and processing .   Be a key team member that   assists   in   design   and development of the data pipeline .   Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems .   Develop and   maintain   interactive dashboards and reports using tools like Tableau, ensuring data accuracy and usability     Schedule and manage workflows   the ensure   pipelines run on schedule and are   monitored   for failures.    Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs .   Develop and   maintain   data models, data dictionaries, and other documentation to ensure data accuracy and consistency .   Implement data security and privacy measures to protect sensitive data .   Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions .   Collaborate and communicate effectively with product teams .   Collaborate with data scientists to develop pipelines that meet dynamic business needs .   Share and discuss findings with team members practicing   SAFe   Agile delivery model.   Functional Skills:

Master’s degree OR Bachelor’s degree and 5 to 9 years of Computer Science,   IT   or related field experience    Preferred Qualifications:   Hands on   experience with data practices, technologies, and platforms, such as Databricks, Python, Gitlab,   LucidChart ,   etc .     Proficiency   in data analysis tools ( e . g.   SQL) and experience with data sourcing tools    Excellent problem-solving skills and the ability to work with large, complex datasets    Understanding of data governance frameworks, tools, and best practices   Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA)    Good-to-Have Skills:   Experience with ETL tools and various Python packages related to data processing, machine learning model development    Strong understanding of data modeling, data warehousing, and data integration concepts    Experience with data visualization and dashboarding tools—Tableau, Power BI, or similar is a plus   Knowledge of Python/R, Databricks, cloud data platforms    Experience working in Product team's environment   Experience working in an Agile environment   Professional   Certifications:   AWS Certified Data Engineer