Design and develop scalable data pipelines using Python, SQL, Airflow, dbt, Spark, and cloud
Develop reusable data models for operational reporting and analytics
Optimize Snowflake data structures and SQL performance
Implement data validation and monitoring frameworks
Design integrations between Snowflake, enterprise applications, APIs, and cloud storage
Build and support data ingestion frameworks using REST APIs and event-driven architectures

🎯 Requirements

10+ years IT experience, 5+ years in data engineering
Expert-level SQL and data modeling
Extensive experience with Snowflake
Strong Python programming
Hands-on dbt, Airflow, Spark/PySpark
Experience with ETL/ELT architectures

🎁 Benefits

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