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Mid-level, popular data-engineer role with dbt/Snowflake specialization and persistent's strong hiring presence.
Requires specialized dbt and Snowflake data-engineering skills, limiting transferability across non-data roles.
Explicit 5–8 years plus mandatory dbt, Snowflake, SQL and ETL experience increases filtering strictness.
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Design and build scalable data transformation pipelines using dbt and Snowflake focusing on data modeling and performance optimization.
Develop complex SQL queries, manage ETL/ELT pipelines, and handle legacy system data extraction and modernization.
Ensure data quality, governance, and collaborate with BI teams to support analytics and reporting.
5 to 8 years of experience in SQL development, Data Engineering, or Data Warehousing.
Strong hands-on expertise in SQL including complex queries, joins, CTEs, window functions, and performance tuning.
Hands-on experience with dbt and Snowflake cloud data platform including data loading, transformations, and optimization.
Work Experience Required: 5 to 8 years.
Experienced with modern data stack architecture and ELT pipeline development focusing on incremental loading and CDC.
Proficient in data modeling concepts like dimensional modeling and star/snowflake schemas with strong focus on data governance and security.
Capable of technical leadership in architecture discussions, system upgrades, and producing technical documentation.