Description

You will design, develop, and maintain data pipelines using Snowflake and DBT to support cross-functional data requirements.

This role is remote.

Responsibilities

• Design and build scalable data transformation models using DBT and Snowflake.
• Optimize SQL queries and stored procedures for maximum performance.
• Implement data automation and ETL/ELT processes using Python.
• Manage data integration and orchestration with Airflow and Azure Data Factory.
• Drive CI/CD implementation using Git and Azure DevOps.

Required Skills

• 5+ years of experience with Snowflake architecture and SQL optimization.
• Proficiency in DBT for data transformation and pipeline development.
• Strong Python skills for scripting and automation.
• Deep knowledge of data modeling and metadata management best practices.
• Experience with orchestration tools like Airflow and Azure Data Factory (ADF).
• Familiarity with cloud platforms (AWS, Azure, or GCP) for Snowflake deployment.
• Ability to work effectively in cross-functional teams.

Preferred Skills

• Experience with Azure DevOps for CI/CD workflows.

Key Skills

Education

Any Graduate