BI/ Data Engineer - Precision Medicine Team

<h2><b>Career Category</b></h2>Engineering<h2></h2><h2><b>Job Description</b></h2><div><div><p><b><span>ABOUT THE ROLE</span></b><span> </span></p></div><div><p><b><span>Role Description</span></b><span> </span></p></div><div><p><span><span>The<span> </span></span></span><b><span>R&amp;D Precision Medicine Business Intelligence (BI) Developer</span></b><span><span><span> </span>will play a key role in enabling data-driven decision-making across Amgen’s scientific and R&amp;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.</span></span><span> </span></p></div><div><p><span><span>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<span> </span></span><span>expertise</span><span><span> </span>in Power BI (Desktop, Service, Power Apps integration) with the ability to design and<span> </span></span><span>optimize</span><span><span> </span>data models, data pipelines, and analytics-ready datasets.</span></span><span> </span></p></div><div><p><span><span>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.</span></span><span> </span></p></div><div><p><b><span>Roles &amp; Responsibilities</span></b><span> </span></p></div><div><p><b><span>Business Intelligence &amp; Analytics Development</span></b><span> </span></p></div><div><ul><li><p><span><span>Design, develop, and<span> </span></span><span>maintain</span><span><span> </span></span></span><b><span>Power BI solutions</span></b><span><span><span> </span>including dashboards, reports, datasets, and semantic models</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Build scalable<span> </span></span></span><b><span>enterprise BI solutions</span></b><span><span><span> </span>using Power BI Desktop, Power BI Service, Power Apps, and Power Automate</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Optimize</span><span><span> </span>Power BI performance through efficient data modeling, DAX optimization, and query tuning</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Enable self-service analytics by designing reusable datasets and governed data models</span></span><span> </span></p></li></ul></div><div><p><b><span>Data Engineering &amp; Data Preparation</span></b><span> </span></p></div><div><ul><li><p><span><span>Design and develop analytics-ready data pipelines using Databricks and SQL</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Transform, cleanse, and curate structured and semi-structured data for BI and reporting use cases</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborate with data engineering teams to ensure reliable, performant, and scalable data ingestion and transformation</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Implement data quality checks, validation rules, and<span> </span></span><span>monitoring</span><span><span> </span>to ensure data accuracy and consistency</span></span><span> </span></p></li></ul></div><div><p><b><span>Cloud &amp; Platform Enablement</span></b><span> </span></p></div><div><ul><li><p><span><span>Leverage<span> </span></span></span><b><span>AWS services</span></b><span><span><span> </span>to support data storage, processing, and analytics workloads</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Design solutions that support secure, governed, and scalable data access across cloud environments</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Work with platform and security teams to align BI solutions with enterprise governance standards</span></span><span> </span></p></li></ul></div><div><p><b><span>Stakeholder Collaboration &amp; Delivery</span></b><span> </span></p></div><div><ul><li><p><span><span>Partner with product owners, scientists, and business stakeholders to understand reporting and analytics needs</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Translate business requirements into clear BI and data solutions</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Support Agile delivery through backlog refinement, sprint planning, and demos</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Use Jira, Confluence, and DevOps tools to manage work, documentation, and releases</span></span><span> </span></p></li></ul></div><div><p><b><span>Continuous Improvement</span></b><span> </span></p></div><div><ul><li><p><span><span>Continuously evaluate and improve BI standards, best practices, and reusable components</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Proactively<span> </span></span><span>identify</span><span><span> </span>opportunities to automate reporting and<span> </span></span><span>optimize</span><span><span> </span>data workflows</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Stay current with Power BI, Databricks, and cloud analytics advancements</span></span><span> </span></p></li></ul></div><div><p><b><span>Must-Have Skills</span></b><span> </span></p></div><div><ul><li><p><span><span>Strong hands-on experience with Power BI (Power BI Desktop, Power BI Service, DAX, data modeling)</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience integrating Power BI with Power Apps and Power Automate</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Hands-on experience with Databricks for data preparation and analytics</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Strong SQL skills for data transformation and analysis</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Solid understanding of data engineering concepts (ETL/ELT, data modeling, data quality)</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong experience with AWS cloud services</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience working in Agile /<span> </span></span><span>SAFe</span><span><span> </span>environments</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong analytical, problem-solving, and communication skills</span></span><span> </span></p></li></ul></div><div><p><b><span>Good-to-Have Skills</span></b><span> </span></p></div><div><ul><li><p><span><span>BI or analytics experience in biotechnology, pharma, or life sciences</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience designing enterprise semantic models and governed datasets</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience exposing curated data for downstream analytics or applications</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Familiarity with CI/CD practices for BI and data solutions</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with performance tuning for large-scale analytical datasets</span></span><span> </span></p></li></ul></div><div><p><b><span>Education &amp; Professional Certifications</span></b><span> </span></p></div><div><ul><li><p><b><span>Master’s degree</span></b><span><span><span> </span>with<span> </span></span><span>minimum<span> </span></span><span>5</span></span><b><span> years</span></b><span><span><span> </span>of experience in Computer Science, IT, Data, or related field</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Bachelor’s degree</span></b><span><span><span> </span>with</span><span><span> </span></span><span>7</span><span>-10</span></span><b><span><span> </span>years</span></b><span><span><span> </span>of relevant experience</span></span><span> </span></p></li></ul></div><div><p><b><span>Preferred Certifications:</span></b><span> </span></p></div><div><ul><li><p><span><span>Microsoft Power BI certification</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>AWS Certified Data Engineer or related AWS certification</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Databricks certification</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>SAFe</span><span><span> </span>or Agile certification</span></span><span> </span></p></li></ul></div><div><p><b><span>Soft Skills</span></b><span> </span></p></div></div><div><div><ul><li><p><span><span>Excellent analytical and troubleshooting skills</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong verbal and written communication skills</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ability to work effectively with global, cross-functional teams</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>High degree of initiative and ownership</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ability to manage multiple priorities in a fast-paced environment</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Team-oriented mindset with a focus on delivering business value</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong presentation and storytelling skills using data</span></span><span> </span></p></li></ul></div><div><p><b><span>Work Hours</span></b><span><span>: 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<span> </span></span><span>required</span><span>.  </span></span><u><span>Potential Shifts</span></u><span><span> (</span></span><i><span>subject to change based on business requirements</span></i><span><span>): Second Shift:<span> </span></span></span><b><span>2:00pm – 10:00pm IST</span></b><span><span>  </span></span><span> </span></p></div><div><p><b><span>EQUAL OPPORTUNITY STATEMENT</span></b><span> </span></p></div><div><p><span><span>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.</span></span><span> </span></p></div><div><p><span><span>We are committed to providing reasonable accommodations to individuals with disabilities throughout the application, interview, and employment process. Please contact us to request<span> </span></span><span>an accommodation</span><span>.</span></span><span> </span></p></div></div><p></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>.