Data Solutions Engineer II , Enabling Functions Data

Job Summary

At Bristol Myers Squibb, our employees often ask, Who are you working for - a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

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.

Qualifications & Experience

• 3-5 years of experience in the information technology field in developing AWS cloud-native data lakes and ecosystems, including some production support experience
• Hands-on experience with programming and analytics capabilities using some AWS (Amazon Web Services) Native Services (Glue Studio, Athena, Redshift, PostgreSQL, etc.) is required.
• Programming skills in languages such as Python, PyTorch, etc.
• At least 1-2 years of experience in an onshore-offshore delivery model
• Solid programming skills in Python and Spark and strong proficiency in Cloud - AWS
• Knowledge of data security and privacy best practices
• Experience with SQL and database technologies such as MySQL, PostgreSQL, etc.
• Comfortable working in a dynamic global environment
• Excellent communication and collaboration skills. Functional knowledge or prior experience in Enterprise Functions is a plus.
• Demonstrates a focus on improving processes, structures, and knowledge within the team.
• Hands-on experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and Databricks Workflows for building and managing scalable data pipelines.
• Strong experience in Databricks development and optimization, including PySpark/SQL, cluster and job configuration, performance tuning, and implementing production-grade data pipelines.