Data Pipelines: Build and scale reliable ETL/ELT processes for user activity data
Architecture and infrastructure: design cloud data stores and analytics stacks using BigQuery
Data Quality: ensure availability, accuracy, security; implement data lineage and observability
Cross-functional collaboration: work with Analytics, Backend and Infra teams to turn raw data into

🎯 Requirements

Deep Python and SQL proficiency for production-ready solutions and optimized queries
Hands-on ETL/ELT orchestration (Airflow, Dataform or equivalents)
Experience with cloud platforms (GCP, AWS or Azure)
Knowledge of data warehousing: dimensional modeling, partitioning, clustering, cost control
5+ years as Data Engineer in prod environments

🎁 Benefits

Professional growth in a venture-builder environment
Collaborative culture with founders and senior experts
Healthcare, training programs, and opportunity to contribute to Ukraine initiatives

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