BI/ Data Engineer - Precision Medicine Team

Career Category Engineering Job Description ABOUT THE ROLE   Role Description   The   R&D Precision Medicine Business Intelligence (BI) Developer   will play a key role in enabling data-driven decision-making across Amgen’s scientific and R&D communities. The Precision Medicine team delivers enterprise-scale solutions for data standardization, data discovery, cohort building, analytics, and knowledge management, providing visibility into Amgen’s rich ecosystem of clinical, omics, imaging, and research data.   This role focuses on building scalable BI and analytics solutions using Power BI and Databricks, supported by strong data engineering foundations on AWS. The ideal candidate combines deep   expertise   in Power BI (Desktop, Service, Power Apps integration) with the ability to design and   optimize   data models, data pipelines, and analytics-ready datasets.   The BI Developer will partner closely with product teams, data engineers, and business stakeholders to translate complex requirements into high-quality dashboards, semantic models, and self-service analytics solutions that accelerate scientific discovery and business insights.   Roles & Responsibilities   Business Intelligence & Analytics Development   Design, develop, and   maintain   Power BI solutions   including dashboards, reports, datasets, and semantic models   Build scalable   enterprise BI solutions   using Power BI Desktop, Power BI Service, Power Apps, and Power Automate   Optimize   Power BI performance through efficient data modeling, DAX optimization, and query tuning   Enable self-service analytics by designing reusable datasets and governed data models   Data Engineering & Data Preparation   Design and develop analytics-ready data pipelines using Databricks and SQL   Transform, cleanse, and curate structured and semi-structured data for BI and reporting use cases   Collaborate with data engineering teams to ensure reliable, performant, and scalable data ingestion and transformation   Implement data quality checks, validation rules, and   monitoring   to ensure data accuracy and consistency   Cloud & Platform Enablement   Leverage   AWS services   to support data storage, processing, and analytics workloads   Design solutions that support secure, governed, and scalable data access across cloud environments   Work with platform and security teams to align BI solutions with enterprise governance standards   Stakeholder Collaboration & Delivery   Partner with product owners, scientists, and business stakeholders to understand reporting and analytics needs   Translate business requirements into clear BI and data solutions   Support Agile delivery through backlog refinement, sprint planning, and demos   Use Jira, Confluence, and DevOps tools to manage work, documentation, and releases   Continuous Improvement   Continuously evaluate and improve BI standards, best practices, and reusable components   Proactively   identify   opportunities to automate reporting and   optimize   data workflows   Stay current with Power BI, Databricks, and cloud analytics advancements   Must-Have Skills   Strong hands-on experience with Power BI (Power BI Desktop, Power BI Service, DAX, data modeling)   Experience integrating Power BI with Power Apps and Power Automate   Hands-on experience with Databricks for data preparation and analytics   Strong SQL skills for data transformation and analysis   Solid understanding of data engineering concepts (ETL/ELT, data modeling, data quality)   Strong experience with AWS cloud services   Experience working in Agile /   SAFe   environments   Strong analytical, problem-solving, and communication skills   Good-to-Have Skills   BI or analytics experience in biotechnology, pharma, or life sciences   Experience designing enterprise semantic models and governed datasets   Experience exposing curated data for downstream analytics or applications   Familiarity with CI/CD practices for BI and data solutions   Experience with performance tuning for large-scale analytical datasets   Education & Professional Certifications   Master’s degree   with   minimum   5  years   of experience in Computer Science, IT, Data, or related field   Bachelor’s degree   with   7 -10   years   of relevant experience   Preferred Certifications:   Microsoft Power BI certification   AWS Certified Data Engineer or related AWS certification   Databricks certification   SAFe   or Agile certification   Soft Skills   Excellent analytical and troubleshooting skills   Strong verbal and written communication skills   Ability to work effectively with global, cross-functional teams   High degree of initiative and ownership   Ability to manage multiple priorities in a fast-paced environment   Team-oriented mindset with a focus on delivering business value   Strong presentation and storytelling skills using data   Work Hours : This position requires you to work a later shift and may be assigned a second shift schedule. Candidates must be willing and able to work during evening or night shifts, as   required .   Potential Shifts  ( subject to change based on business requirements ): Second Shift:   2:00pm – 10:00pm IST      EQUAL OPPORTUNITY STATEMENT   Amgen is an Equal Opportunity employer and will consider you without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.   We are committed to providing reasonable accommodations to individuals with disabilities throughout the application, interview, and employment process. Please contact us to request   an accommodation .   .