• The ideal candidate is a self-starter with a bias for action and results, with experience in a fast-paced, data-driven environment
• BS/MS in Computer Science or a related technical field
• 5+ years working with Analytics and Data Engineering teams with a mixed data engineering and analytics background
• 5+ years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud
• Experience working on or leading initiatives around data governance, master data management, data catalogs, and enterprise data warehouse architecture
• Strong analytical skills, data sensibility, and an able communicator
• Open to working on multiple projects simultaneously
• High Proficiency in:
• SQL
• Python
• Dimensional Modeling
• Data pipeline development, workflow management, and orchestration tools
• ETL optimization and best practices
• Snowflake or other column-oriented and cloud-based databases
• Relational Databases

Desirable

• Vimeo is looking for an experienced Senior Data Engineer - Analytics to join our Data Architecture and Analytics Engineering team and work closely with Data Analysts and Data Scientists to create and maintain robust, scalable, and sustainable data models that provide decision-making insights for senior leadership including executives
• Build data models that can support dynamic and efficient data analysis, and collaborate with other teams to maintain and evolve those models over time
• Ensure alignment to coding standard methodologies and development of reusable code
• Partner with Data Analysts to understand business processes and identify opportunities to build scalable and efficient data models that can be used for scalable, refreshable analysis and reporting
• Create and enable the generation of ad-hoc / on-demand data sets for use by analysts and data scientists
• Work with Engineering teams to set up monitoring and alerting systems for business and product KPIs