Designing and developing data solutions, the senior Python-Snowflake Data Engineer will work in a hybrid model to build scalable data pipelines and robust Snowflake SQL tasks, leveraging 6-10 years of experience to support complex analytics for enterprise clients. Key responsibilities Design and implement scalable data processing solutions using Python for analytics and reporting Develop and optimize complex Snowflake SQL queries and tasks to meet enterprise data warehousing needs Build resilient data pipelines that ensure efficient data movement while maintaining accuracy and consistency Required qualifications 6-10 years of experience in data engineering, specifically with Python and Snowflake Proven experience in building scalable data pipelines and complex SQL tasks Familiarity with property and casualty insurance data is a plus Strong understanding of data modeling and data flow documentation Experience implementing monitoring and alerting for data processes
Python-Snowflake Data Engineer in workfromhome at Unknown Company
This position is listed as full time and hybrid.