Data Engineer

📋 Description

• Build and maintain production data pipelines and models on Snowflake, from ingestion through
• Develop dbt models with tests and documentation that follow team standards and governance practices
• Build and support Apache Airflow DAGs that orchestrate Snowflake workloads reliably
• Ingest data from enterprise sources using Snowpipe, Snowpark, and dynamic tables
• Apply data quality checks and help monitor Snowflake warehouse cost and performance
• Act as an internal customer zero, sharing feedback on Snowflake features with Product teams

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent
• 3+ years of hands-on experience building data pipelines or data models in a production environment
• Strong SQL and working Python skills, including basic query tuning and schema design
• Hands-on experience with a cloud data warehouse, ideally Snowflake
• Working knowledge of dbt and an orchestration tool such as Apache Airflow
• Understanding of dimensional modelling concepts