Data Engineer I - Commercialization Rapid Data Labs

Working with Us Challenging. Meaningful. Life-changing. These 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 rich in diversity. 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. BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation. #HYDIT #LI-Hybrid Experience & Qualifications Experience and familiarity with the commercial data within the Pharma industry Have a strong commitment to a career in technology with a passion for healthcare At least 1.5 -2 years of experience writing code using Python, AWS Lambda, AWS Redshift, Impala, MySQL, Oracle SQL, Excel VBA, R Shiny, Plotly, Domino and Java Ability to understand the needs of the business and commitment to deliver the best user experience and adoption Demonstrated leadership experience Excellent communication skills Innovative and inquisitive nature to ask questions, offer bold ideas and challenge the status quo Ability to learn new tools and processes Four-year degree in Information Systems, Finance/Mathematics, Computer Science or similar 3-5 years of experience in Data Engineering