Career Category Information SystemsJob DescriptionJoin Amgen’s Mission of Serving PatientsAt Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.Senior Data EngineerWhat you will doLet’s do this. Let’s change the world. The role is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processesRoles & Responsibilities:Design, develop, and maintain data solutions for data generation, collection, and processingBe a key team member that assists in design and development of the data pipelineCreate data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systemsContribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutionsTake ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risksCollaborate with cross-functional teams to understand data requirements and design solutions that meet business needsDevelop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistencyImplement data security and privacy measures to protect sensitive dataLeverage cloud platforms (AWS preferred) to build scalable and efficient data solutionsCollaborate and communicate effectively with product teamsCollaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regionsIdentify and resolve complex data-related challengesAdhere to best practices for coding, testing, and designing reusable code/componentExplore new tools and technologies that will help to improve ETL platform performanceParticipate in sprint planning meetings and provide estimations on technical implementationWhat we expect of youWe are all different, yet we all use our unique contributions to serve patients.Basic Qualifications:Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years in Computer Science, IT or related fieldHands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processingProficiency in data analysis tools (eg. SQL) and experience with data visualization toolsExcellent problem-solving skills and the ability to work with large, complex datasetsSolid understanding of data governance frameworks, tools, and standard methodologies.Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)Preferred Qualifications:Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model developmentSolid understanding of data modeling, data warehousing, and data integration conceptsKnowledge of Python/R, Databricks, SageMaker, cloud data platformsProfessional Certifications (Preferred):AWS Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)Soft Skills:Excellent critical-thinking and problem-solving skillsStrong communication and collaboration skillsDemonstrated awareness of how to function in a team settingDemonstrated presentation skillsWhat you can expect of usAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.Apply now and make a lasting impact with the Amgen team.careers.amgen.comAs an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.We will ensure that individuals with disabilities are provided 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 accommodation..
