Zapier
SaaS • Productivity • B2B
Zapier is a leading automation platform that enables users to connect and automate workflows across more than 7,000 applications. Known for its no-code approach, Zapier empowers individuals and teams to streamline tasks by creating automated processes called "Zaps," which link triggers and actions between different apps. The platform is trusted by millions of users globally, including 87% of Forbes Cloud 100 companies, offering solutions that enhance productivity and efficiency in various business functions.
501 - 1000 employees
Founded 2011
☁️ SaaS
⚡ Productivity
🤝 B2B
💰 Secondary Market on 2021-04
Data Engineer
October 20
Zapier
SaaS • Productivity • B2B
Zapier is a leading automation platform that enables users to connect and automate workflows across more than 7,000 applications. Known for its no-code approach, Zapier empowers individuals and teams to streamline tasks by creating automated processes called "Zaps," which link triggers and actions between different apps. The platform is trusted by millions of users globally, including 87% of Forbes Cloud 100 companies, offering solutions that enhance productivity and efficiency in various business functions.
501 - 1000 employees
Founded 2011
☁️ SaaS
⚡ Productivity
🤝 B2B
💰 Secondary Market on 2021-04
📋 Description
• Build and scale the data systems that power key parts of Zapier’s product. • Design, develop, and maintain scalable backend systems and APIs. • Collaborate with engineering and analytics teams to optimize storage and workflows. • Champion best practices for data systems quality and security. • Continuously monitor and optimize the performance of data workflows. • Work closely with Product, Analytics, and Machine Learning teams to support their data needs.
🎯 Requirements
• 4+ years of experience building and maintaining scalable, reliable data pipelines and infrastructure in cloud environments (AWS, GCP, or Azure). • Solid background in software engineering and backend systems, designing APIs and data services. • Highly skilled in Databricks, Spark, or similar distributed processing platforms. • Proficient in Python and/or Typescript, and strong in SQL. • Care deeply about data reliability and observability with testing, monitoring, and alerting methods. • Communicate clearly in writing, enjoy sharing knowledge with teammates.
🏖️ Benefits
• Offers Equity • Offers Bonus
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