Description

You will build and maintain data pipelines using Snowflake, dbt, and AWS, owning the end-to-end ELT lifecycle for analytics engineering.

This role is hybrid.

Responsibilities

• Design and implement robust data warehousing solutions and ELT patterns in Snowflake.
• Develop complex SQL transformations and optimize query performance for production environments.
• Build and maintain dbt models and data pipelines within AWS cloud infrastructure.
• Manage version control with Git and automate deployments through CI/CD pipelines.
• Resolve data quality issues and troubleshoot pipeline failures with strong analytical skills.

Required Skills

• 8+ years of experience in data engineering, analytics engineering, or BI development.
• Strong hands-on expertise in Snowflake data warehousing.
• Proven production experience with dbt (data build tool).
• Advanced SQL proficiency, including complex transformations and performance tuning.
• Solid experience working with AWS cloud services.
• Deep understanding of data warehousing concepts and ELT patterns.
• Experience with Git and CI/CD pipeline management.

Key Skills

Education

Any Gradute