4+ years of experience designing and building data sets and warehouses.
Excellent ability to understand the needs of and collaborate with stakeholders in other functions, especially Analytics, and identify opportunities for process improvements across teams.
Expertise in SQL for analytics/reporting/business intelligence and also for building SQL- and Python-based transforms inside an ETL pipeline, or similar.
Experience designing, architecting, and maintaining a data warehouse and data marts that seamlessly stitches together data from production databases, clickstream data, and external APIs to serve multiple stakeholders.
Expertise building the above with a modern data stack based on a cloud-native data warehouse, in our case we use BigQuery, dbt, and Apache Airflow, but a similar stack is fine.
Experience using AI to generate design plans, code and documentation as well as applying AI-enabled workflows to accelerate development velocity and improve data engineering practices.
Strong sense of ownership and pride in your work, from ideation and requirements-gathering to project completion and maintenance.