Data Engineer at Bristol Myers Squibb

Type: Full-time

Description

Bristol Myers Squibb is seeking a Data Engineer to develop and maintain ETL/ELT pipelines for data warehouses, optimize data storage, collaborate with data teams, ensure data quality, and implement security protocols. The role involves staying updated on emerging data engineering trends and partnering with enterprise data and analytics platform teams. Candidates should have 3-5 years of experience in data capabilities, preferably in a cloud environment, with expertise in Databricks, AWS data ingestion pipelines, CloudFormation, GitHub Workflows, and boto3 APIs.

Required Skills

ETL/ELT Pipelines
Data Warehouse
Data Storage and Retrieval
Data Quality and Integrity
Security Protocols
Emerging Trends in Data Engineering and Analytics
Data Platforms and Product Implementation
Agile/Product Based Environment

Additional Information

Required Previous Experiences: 3-5 years of hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in a cloud environment.
5+ years of experience in data engineering or software development
Preferred Qualifications: 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.
Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus
Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site.

About Bristol Myers Squibb

Bristol Myers Squibb

biopharmaNew York, NY, US

Learn more about Wendy Short Bartie, Executive Vice President, Corporate Affairs, is responsible for advancing our company strategy through strategic communications, corporate social responsibility, corporate marketing and brand reputation, and patient advocacy.