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.

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)