Career Category EngineeringABOUT AMGENAmgen harnesses the best of biology and technology to fight the worlds toughest diseases, and make peoples 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 whats known today.ABOUT THE ROLERole Description:We are seeking a Reference Data Management Senior Analyst who as the Reference Data Product team member of the Enterprise Data Management organization, will be responsible for managing and promoting the use of reference data, partnering with business Subject Mater Experts on creation of vocabularies / taxonomies and ontologies, and developing analytic solutions using semantic technologies.Roles & Responsibilities:Work with Reference Data Product Owner, external resources and other engineers as part of the product teamDevelop and maintain semantically appropriate conceptsIdentify and address conceptual gaps in both content and taxonomyMaintain ontology source vocabularies for new or edited codesSupport product teams to help them leverage taxonomic solutionsAnalyze the data from public/internal datasets.Develop a Data Model/schema for taxonomy.Create a taxonomy in Semaphore Ontology Editor.Perform Bulk-import data templates into Semaphore to add/update terms in taxonomies.Prepare SPARQL queries to generate adhoc reports.Perform Gap Analysis on current and updated dataMaintain taxonomies in Semaphore through Change Management process.Develop and optimize automated data ingestion / pipelines through Python/PySpark when APIs are availableCollaborate with cross-functional teams to understand data requirements and design solutions that meet business needsIdentify and resolve complex data-related challengesParticipate in sprint planning meetings and provide estimations on technical implementation.Basic Qualifications and Experience:Masters degree with 6 years of experience in Business, Engineering, IT or related field ORBachelors degree with 8 years of experience in Business, Engineering, IT or related field ORDiploma with 9+ years of experience in Business, Engineering, IT or related fieldFunctional Skills:Must-Have Skills:Knowledge of controlled vocabularies, classification, ontology and taxonomyExperience in ontology development using Semaphore, or a similar toolHands on experience writing SPARQL queries on graph dataExcellent problem-solving skills and the ability to work with large, complex datasetsUnderstanding of data modeling, data warehousing, and data integration conceptsGood-to-Have Skills:Hands on experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.).Experience using cloud services such as AWS or Azure or GCPExperience working in Product Teams environmentKnowledge of Python/R, Databricks, cloud data platformsKnowledge of NLP (Natural Language Processing) and AI (Artificial Intelligence) for extracting and standardizing controlled vocabularies.Strong understanding of data governance frameworks, tools, and best practicesProfessional Certifications:Databricks Certificate preferredSAFexc2xae Practitioner Certificate preferredAny Data Analysis certification (SQL, Python)Any cloud certification (AWS or AZURE)Soft Skills:Strong analytical abilities to assess and improve master data processes and solutions.Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.Effective problem-solving skills to address data-related issues and implement scalable solutions.Ability to work effectively with global, virtual teamsEQUAL 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 accommodation..
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