Description

You will design, develop, and manage Snowflake data warehouse solutions in complex, high-volume environments.

Responsibilities

• Design and manage Snowflake data warehouse solutions and ingestion frameworks for structured and unstructured data.
• Establish best practices for Snowflake usage using Airflow, DBT, and Spark.
• Develop and deploy data pipeline frameworks utilizing CI/CD and standard testing tools.
• Monitor and tune query and data load performance, including Snowpark and workload optimization.
• Integrate Snowflake with internal platforms for data quality, cataloging, discovery, and incident logging.

Required Skills

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• 10+ years of experience in data development within high-volume environments.
• 7+ years of experience with SQL/PLSQL and complex query development.
• 5+ years of experience developing data solutions on Snowflake.
• Snowflake SnowPro Core certification (mandatory).
• 3+ years of experience with Python and libraries including Pandas, NumPy, and PySpark.
• 3+ years of experience in hybrid data environments (on-prem and cloud).
• Hands-on experience with Airflow or similar orchestration tools like Dagster.
• Proficiency with CI/CD, AWS, Kubernetes, and Docker.

Preferred Skills

• Snowflake SnowPro Advanced Architect or Advanced Data Engineer certifications.
• Experience with DBT and performance tuning for Spark jobs and stored procedures.
• Knowledge of E-R data models, temporal/bi-temporal models, and event-driven programming.

Key Skills

Education

Bachelor's degree