Data Engineer

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. 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.   Expertise in Databricks  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 delivering data, ETL solutions with some of the technologies like AWS data services (Redshift, Athena, lakeformation, etc.), Cloudera Data Platform, Tableau labs is a plus   5+ years of experience in data engineering or software development