Sr. Data Engineer – Clinical Data Foundation

Career CategoryClinicalJob DescriptionABOUT 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.ABOUT THE ROLERole Description:The Sr. Data Engineer 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 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 implementationCollaborate and communicate effectively with product teamsBasic Qualifications and Experience:Master’s /Bachelor’s degree with 9-12 years of experience in Computer Science, IT or related field Functional Skills:Must-Have Skills:Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processingHands on experience with various Python/R packages for data analysis, feature engineering and machine learning model trainingProficiency in data analysis tools (eg. SQL) and experience with data visualization toolsExcellent problem-solving skills and the ability to work with large, complex datasetsStrong understanding of data governance frameworks, tools, and best practices.Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)Good-to-Have Skills:Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model developmentStrong understanding of data modeling, data warehousing, and data integration conceptsKnowledge of Python/R, Databricks, SageMaker, cloud data platformsExperience with Clinical Development domain.Professional Certifications:Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)Machine Learning Certification (preferred on Databricks or Cloud environments)SAFe for Teams certification (preferred)Soft Skills:Excellent critical-thinking and problem-solving skillsStrong communication and collaboration skillsDemonstrated awareness of how to function in a team settingDemonstrated presentation skillsShift Information:This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.EQUAL OPPORTUNITY STATEMENTAmgen 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..