Power Platform Engineer
Bristol-Myers Squibb
- Location
- Hyderabad - TS - IN
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 57 approvals (FY2023)
- Posted
- Aug 18, 2026
Skills
About this role
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Position : Power Platform Engineer Position Summary We are seeking a motivated and technically proficient Power Platform Engineer to design, develop, and maintain enterprise-grade applications and automation solutions using Microsoft Power Platform. This role will focus on building and enhancing Power Apps, Power Automate flows, and Power BI reports to improve operational efficiency and enable data-driven decision-making. The ideal candidate will work closely with business users, IT teams, and citizen developers to deliver impactful solutions aligned with enterprise standards.
Key Responsibilities
Develop and maintain Power Apps (Canvas and Model-Driven) to meet business requirements. Build and optimize automated workflows using Power Automate. Design and develop Power BI reports and dashboards using best practices for usability, performance, and scalability. Develop and optimize Power BI semantic models and dataflows, including data modeling, relationships, measures, and calculated columns using DAX. Use Power Query to ingest, transform, and shape data from multiple sources to support analytics and reporting needs. Assist in managing Power Platform environments, solutions, and data policies. Support deployment pipelines and basic ALM practices under guidance from senior team members. Configure, manage, and optimize Power BI and Power Platform data gateways to ensure secure, reliable, and cost-effective connectivity in hybrid environments. Leverage AI Builder and Copilot capabilities to automate complex workflows, enhance predictive insights, and deliver intuitive user experiences. Collaborate with business stakeholders to understand requirements and translate them into technical deliverables. Provide technical support and troubleshooting for Power Platform solutions. Contribute to documentation, training materials, and user guides for end-users and citizen developers. Stay informed on Power Platform updates and contribute to continuous improvement initiatives. Qualifications&Experience Bachelor’s degree in Computer Science, Information Systems, or related field. 3-5 years of experience designing and implementing solutions using Microsoft Power Platform (Power Apps, Power Automate, Power BI). Solid understanding of Power Platform architecture, environment strategy, and integration capabilities across Dataverse and Azure services. Familiarity with Application Lifecycle Management (ALM) and deployment pipelines within Power Platform. Strong Power BI development experience, including report/dashboard design, DAX, data modeling, semantic models, dataflows, and workspace configuration. Familiarity with Microsoft Fabric and Databricks, with experience integrating Power Platform solutions into enterprise systems and Azure services. Strong foundation in data modeling and performance optimization, with experience supporting Power BI gateways in hybrid environments. Experience with AI Builder and Copilot for creating intelligent apps and workflows, leveraging AI models for document processing, prediction, and natural language