Scale to the business

Overview

Software Engineer, Analytical Engineering role responsible for collaborating with the business to gather requirements, develop a centralized data-layer, and deliver data-products at scale using ELT frameworks and dbt.

About Scale to the business

Working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.

Requirements & Eligibility

• Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study preferred.
• 1-3 years of experience in analytical engineering, data modeling, or a similar role.
• Proficiency with SQL, SPARK and Python.
• Knowledge of data engineering tools (AWS, Airflow) and visualization tools (Tableau, Power BI, Looker).
• Experience with version control (e.g. Git, SVN) and Agile development.
• Proven analytical and problem-solving ability.

Key Responsibilities

• Collaborate with the business to gather requirements and deliver data-products to enable data-informed decision-making.
• Develop a centralized data-layer to deliver data-products at scale to the business.
• Use ELT framework to help transform raw or semi-structured data into a contextualized data model (preferably using DBT), supporting analytical solutions (preferably AWS) to drive efficiency.
• Partner with AI and ML teams to deliver the data skeleton for AI-enabled internal tools.
• Work within DBT to deliver documented, tested, and DRY code.
• Follow analytical lifecycle process and quality frameworks to deliver accurate data to internal consumers on-time.