Description

You will design, build, and optimize scalable data pipelines using Snowflake, SQL, and DBT.

This role is on-site.

Responsibilities

• Design and implement ELT/ETL workflows and scalable data models.
• Build and maintain data pipelines using SQL, Snowflake, and DBT.
• Manage development and deployment using Git and CI/CD practices.
• Collaborate across Azure, AWS, and GCP cloud platforms.
• Automate tasks and implement data quality checks using Python.

Required Skills

• 8+ years of experience in data or analytics engineering.
• Expert-level SQL and hands-on Snowflake administration.
• Advanced DBT (Core or Cloud) experience.
• Strong understanding of ELT/ETL patterns and data modeling.
• Proficiency with Git and CI/CD pipelines.
• Experience with at least one major cloud platform (Azure, AWS, or GCP).

Preferred Skills

• Python scripting for automation.
• Experience with data quality tools.

Key Skills

Education

Any Graduate