As a member of the Finance Operations & Analytics team, you’ll focus on implementing scalable systems and processes that provide metrics visibility for our senior leaders, enable business analysts to generate insights, and power our mission-critical reporting as a public company.

We are looking for a seasoned Data Engineer to build multiple analytics datasets for us. The successful candidate will have experience working with enterprise data warehouses, be able to ramp up quickly and adapt in new environments, and have strong critical thinking skills.

What you’ll do :

• Build three detailed diagnostic datasets to allow our Business Operations partners to analyze metrics quickly and all in one place
• User Growth & Engagement Diagnostics
• User Impressions & Conversions Diagnostics
• Regional Revenue Diagnostics
• Collaborate with both central technical teams and business stakeholders to ramp quickly
• Analyze existing data sources independently in Hive using Presto/Spark SQL and be able to create design recommendations  
• Build an ETL pipeline using Airflow with queries optimized for scale and large datasets