Senior Data Engineer (AI Data Platform)

📋 Description

• Refactor schemas and tables across Bronze, Silver, Gold layers
• Execute production migrations and schema changes with reliability
• Develop, maintain, optimize dbt models (incremental, materializations, tests)
• Refactor and optimize Airflow DAGs for reliability and performance
• Profile and tune Snowflake queries (warehouse sizing, clustering, cost)
• Implement aggregation strategies to speed dashboards for AI products

🎯 Requirements

• 5+ years as a Data Engineer on production-scale data platforms
• Bachelor's in CS/SE or related; equivalent experience considered
• Strong Snowflake experience (profiling, performance, cost optim)
• Solid dbt experience (design, incremental models, testing, production)
• Proven Airflow DAGs in production
• Advanced SQL for production performance debugging

🎁 Benefits

• 6-month temporary contract with extension potential
• AI-oriented data platform development
• Hands-on with Snowflake, dbt, Airflow, Python, SQL
• Autonomy and end-to-end ownership of solutions
• Opportunity to tackle performance, scalability, reliability, data quality
• Collaborative, technically focused environment