Job description

• Develop and maintain scalable data pipelines using Snowflake and dbt for data transformation and integration. • Build and optimize dbt models, macros, tests, and documentation to support reliable analytics-ready datasets. • Write complex SQL queries and optimize Snowflake performance, including query tuning and warehouse utilization. • Implement ETL/ELT processes , data quality checks, data validation, and troubleshooting across multiple data sources. • Collaborate with data analysts, architects, and business teams while following Git, CI/CD, and Agile/Scrum best practices.

Requirements

Must-haves

Develop and maintain scalable data pipelines using Snowflake and dbt for data transformation and integration.
Build and optimize dbt models, macros, tests, and documentation to support reliable analytics-ready datasets.
Write complex SQL queries and optimize Snowflake performance, including query tuning and warehouse utilization.
Implement ETL/ELT processes , data quality checks, data validation, and troubleshooting across multiple data sources.
Collaborate with data analysts, architects, and business teams while following Git, CI/CD, and Agile/Scrum best practices.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlci/cdagilescrum

Platform: careers-browser
Effort: medium