6 months ago
Responsibilities
- Design and implement scalable data models and streaming or real-time pipelines.
- Transform raw information into insights that support merchant success.
- Collaborate with product teams to maintain quality and integrity across platforms.
- Optimize workflows and infrastructure for performance and scalability.
- Lead peer reviews and standardize data engineering practices.
- Support on-call work when required.
Requirements
- Experience designing and building streaming or real-time data pipelines with event-driven architectures and high-throughput data systems.
- Extensive experience with data modeling across various paradigms and techniques.
- Strong analytical skills and experience with visualization tools.
- Proficiency with SQL, Python, and relevant data technologies.
- Experience with batch transformation and warehouse layers on AWS, GCP, or Azure.
- Ability to translate complex information into strategic insights and collaborate effectively with teams.
Benefits
- The role may require on-call work.
- Shopify aims to complete the interview loop within 30 days, with candidates expected to be available for interviews within one week of applying.
Tech Stack
Categories
Data Engineering
About Shopify
Shopify is a leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. Shopify makes commerce better for everyone with a platform and services that are engineered for reliability, while delivering a better shopping experience for consumers everywhere. Shopify powers millions of businesses in more than 175 countries and is trusted by brands such as Allbirds, Gymshark, PepsiCo, Staples, and many more. Find all our jobs here: www.shopify.com/careers