Design, implement, and automate data pipelines and data warehouses, primarily using Snowflake
Provide technical leadership and mentorship to a team of data engineers while collaborating with cross-functional teams
Evaluate and recommend best practices for data architecture and ensure data quality throughout the data lifecycle
Required Qualifications
5+ years of expert-level Snowflake design and implementation experience
5+ years of experience with other data warehouse technologies such as Databricks and Redshift
5+ years of AWS experience, including S3 and managed database services
5+ years of hands-on Python development experience
10 years of experience working with relational databases and CI/CD pipelines
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