Your work will ensure the reliable operations of our data assets to stakeholders, ensuring high-quality, reliable, and accessible data to consumers—such as analysts and data scientists—in a rapid and continuous fashion
Job Summary
Your work will ensure the reliable operations of our data assets to stakeholders, ensuring high-quality, reliable, and accessible data to consumers—such as analysts and data scientists—in a rapid and continuous fashion.
Ensure that analytics assets (data pipelines and data models) are reliably and efficiently deployed and maintained in production.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
Matching Summary
Your work will ensure the reliable operations of our data assets to stakeholders, ensuring high-quality, reliable, and accessible data to consumers—such as analysts and data scientists—in a rapid and continuous fashion.
Salary
Base: $81,260 - $98,468; Bonus/Equity: Additional incentive cash and stock opportunities may be available; Benefits: Health Coverage, Wellbeing Support, Financial Well-being and Protection, Work-life benefits
Skills & Requirements
Must-have
data pipeline deployment and maintenance
monitoring and troubleshooting data pipelines
CI/CD for data pipelines
Python and SQL programming skills
Git version control proficiency
Nice-to-have
strong analytical and troubleshooting skills
excellent communication and teamwork
eagerness to learn new technologies
commitment to data quality and security
self-motivated and proactive
Key Requirements
Bachelor's or Master's degree
1-2 years of data engineering experience
Data engineering, DevOps, or DataOps experience preferred
Experience with cloud platforms (AWS)
Familiarity with CI/CD tools (Jenkins, GitLab CI/CD)