Vimeo Sr Data Engineer - Analytics 

United States, New York, New York 

439314548

What you'll do:

• 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

Skills and knowledge you should possess:

• 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

Bonus points (nice skills to have, but not needed):

• DBT
• Git / Github
• MySQL is a big plus
• Looker/Tableau is a big plus
• large data sets (terabyte scale)
• Apache Airflow