Senior Associate-Snowflake Data Engineer
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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location and popular Data Engineer title with mid-level experience increase applicant density despite Snowflake specialization.
Cloud ELT and Snowflake skills transfer across industries, though Snowflake-specific experience slightly reduces portability.
Explicit 5–8 years plus mandatory Snowflake, dbt, and Airflow expertise enforces strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and ELT workflows using Snowflake, dbt, and Apache Airflow.
Optimize Snowflake data warehouse performance through query tuning and management of schemas, tables, and stored procedures.
Support data warehouse modernization and legacy-to-Snowflake migration initiatives, ensuring data quality and governance frameworks.
Minimum Requirements
5-8 years of experience in Snowflake Data Engineering and Data Warehousing.
Strong hands-on expertise with Snowflake, dbt, and Apache Airflow.
Advanced SQL development and query optimization skills.
Work Experience Required: 5-8 years.
Ideal Candidate Profile
Experienced in designing and optimizing large-scale ELT workflows in complex data environments.
Proficient in managing data transformations with dbt and workflow orchestration with Airflow, indicating operating style around automation and best practices.
Demonstrated ability to handle data warehouse modernization and migration projects, suggesting capability in change management within data systems.