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Specialized Snowflake skillset but senior level and metro location create moderate applicant competition.
Snowflake and data engineering skills are transferable across industries, though platform specialization favors similar tech environments.
Explicit 8+ years and mandatory Snowflake, SQL and Python requirements make filters strict.
Design, develop, and maintain data pipelines, ETL processes, and data models on Snowflake Data Cloud platform.
Optimize data availability, quality, storage, and query performance for large datasets on Snowflake.
Collaborate with cross-functional teams including data scientists and analysts to deliver scalable data solutions and ensure efficient data migration and integration.
8+ years of work experience in data engineering or related roles.
Expertise in Snowflake data warehousing solutions including building, optimizing, and managing them.
Strong proficiency in SQL, including writing complex queries and performance tuning.
Proficiency in Python scripting for automation and integration within data pipelines.
Operates effectively in cloud-based environments with a strong focus on Snowflake platform and big data workflows.
Experienced in handling complex ETL processes and data pipeline troubleshooting at scale.
Comfortable collaborating with technical and business stakeholders to translate data needs into technical solutions.