Senior Data Engineer

📋 Description

• 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