Data Engineer II, Data & Analytics

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 .

Data Engineer II, Data & Analytics Location: Hyderabad, India At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology, and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Summary The ideal candidate will have a strong background in data engineering, and data systems and data governance and will be comfortable working with both structured and unstructured data. Prior domain experience with enterprise functions (HR/ Finance/ Compliance/ Procurement) is a big plus.

In building production-grade applications and APIs that expose data and AI capabilities to enterprise users. Exposure to Generative AI and LLM-powered solutions in an enterprise or cloud environment is highly desirable If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!

Accountable for enhancing and delivering high quality, data products and analytic ready data solutions for Enabling Functions Working with stakeholders to define the overall strategy for the organization's data products and new features. This involves understanding business goals, identifying data sources, and determining the appropriate technology stack and making recommendations/ building enhancements. Developing and implementing data engineering solutions that support the organization's business needs. This may involve working with various technologies, including data warehouses, data lakes, data marts, and data APIs. Understand and collaborate with data architect to maintain data models to support our reporting and analysis needs. Optimize data storage and retrieval to ensure efficient performance and scalability. Implement standard data governance policies and procedures to ensure that data is accurate, consistent, and secure. This includes defining data quality standards data security protocols, and data privacy policies. Close partnering with the Enterprise Data and Analytics Platform team, other functional data pods and Data Community lead to shape and adopt data and technology strategy. Staying up to date with industry trends: Keeping up to date with the latest trends and advancements in data architecture/ data engineering and technology and applying this knowledge to enhance the organization's data systems and processes.         Comfortable working in a fast-paced environment with minimal oversight Prior experience working in an Agile/Product based environment. Design and develop RESTful APIs to expose data products and analytics capabilities to business applications Build reusable API frameworks to accelerate development across multiple enterprise use cases Integrate LLM APIs (OpenAI, AWS Bedrock, Anthropic Claude) into enterprise workflows for use cases like