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.
Position Summary
At BMS, digital innovation and Information Technology are central to our vision of transforming patients’ lives through science. To accelerate our ability to serve patients around the world, we must unleash the power of technology. We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care.
If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!
As a Data Engineer based out of our BMS Hyderabad you are part of the Data Platform team along with supporting the larger Data Engineering community, that delivers data and analytics capabilities for Data Platforms and Data Engineering Community. The ideal candidate will have a strong background in data engineering, DataOps, cloud native services, and will be comfortable working with both structured and unstructured data.
Key Responsibilities
The Data Engineer will be responsible for developing and maintaining ETL/ELT pipelines for ingesting data from various sources into our data warehouse.
Work with an end-to-end ownership mindset, innovate and drive initiatives through completion.
Optimize data storage and retrieval to ensure efficient performance and scalability
Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements
Ensure data quality and integrity through data validation and testing
Implement and maintain security protocols to protect sensitive data
Stay up-to-date with emerging trends and technologies in data engineering and analytics
Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams and Data Community lead to enable adoption of data and technology strategy.
Knowledgeable in evolving trends in Data platforms and Product based implementation
Comfortable working in a fast-paced environment with minimal oversight
Prior experience working in an Agile/Product based environment.
Qualifications & Experience
3-5 years of hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in a cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed.
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.
Expertise in designing and building real time data ingestion data pipelines in AWS
Expertise in CloudFormation
Developing and using Custom Resources in CFTs
Expertise in developing GitHub Workflows & integrating GitHub workflows with AWS
Expertise with using boto3 apis for Lambda, S3, Glue, Crawlers, Data Zone (preferred)
Expert in building APIs using AWS services
In-depth knowledge and hands-on experience with ASW Glue services and AWS Data engineering ecosystem.
Hands-on experience developing and…