What you'll do:

• Design, develop and maintain Vimeo’s product and event analytics platform that processes billions of records every day in real-time to enable analytics and event-driven systems
• Partner with analytics leaders and analysts to ensure adherence to data governance and data modeling best practices
• Partner with product engineering teams to enhance the efficiency of product analytics clients and data collection mechanisms
• Contribute software designs, code, tooling, testing, and operational support to a multi-terabyte analytics platform
• Provide technical leadership to the data engineering team and actively lead design discussions
• Constantly monitor our data platform and make recommendations to enhance system architecture
• Work collaboratively with other data engineers, analysts, and business stakeholders to understand and plan technical requirements for projects
• Prioritize project intake, perform cost/benefit analysis, and make decisions about what work to pursue that best balances our platform’s users, stakeholders, and technology

What makes you a great fit:

• 5+ years of engineering experience in a fast-paced environment; 2+ years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud
• Deep understanding of distributed data processing architecture and tools such as Kafka and Spark
• Working knowledge of design patterns and coding best practices
• Experience with and understanding of data modeling concepts, techniques, and best practices
• Experience with Airflow, Celery, or other Python-based task-processing systems
• Proficiency in SQL
• Proficiency in Python or Java
• Proficiency with modern source control systems, especially Git
• Experience working with non-technical business stakeholders on technical projects
• Understanding Cloud-based DevOps: AWS or Google Cloud Platform or Azure
• Good to have experience with Amplitude, Snowplow, Segment, or other event analytics platforms
• Good to have knowledge of relational database design
• Good to have experience in snowflake or other distributed columnar-store databases
• Basic Linux/Unix system administration skills
• Familiarity with containerization technologies (e.g., Docker, Kubernetes)#LI-MM1