2 days ago
Responsibilities
- Architect, build, and refine high-performance streaming infrastructure for real-time merchant analytics.
- Develop tools and frameworks that improve platform efficiency, scalability, and developer experience.
- Collaborate with cross-functional teams to integrate streaming systems with Shopify’s broader data ecosystem.
- Partner with product and data teams to influence the technical roadmap and shape merchant analytics.
- Mentor and uplevel engineers while fostering technical excellence.
Requirements
- Extensive experience building and scaling real-time data platforms and data infrastructure.
- Strong knowledge of Apache Flink or comparable stream-processing frameworks such as Kafka Streams or Spark Streaming.
- Proficiency in Java and SQL; Python and Ruby experience is a plus.
- Experience with analytical databases such as ClickHouse or BigQuery.
- Strong understanding of Docker and Kubernetes.
- Deep expertise in distributed-systems challenges including late-arriving data, exactly-once semantics, backfill strategies, and data consistency.
- Outstanding problem-solving skills for complex technical challenges at scale.
- Collaborative mindset and ability to work effectively in a diverse, dynamic team environment.
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