Description

You will design, develop, and maintain scalable data pipelines and ELT workflows using Snowflake.

This role is on-site.

Responsibilities

• Design and maintain scalable data pipelines and ELT workflows using Snowflake SQL and DBT.
• Implement Snowflake Task Orchestration, schema modeling, and system performance tuning.
• Build and manage data models within Snowflake to support analytical solutions.
• Leverage DBT (CLI and Cloud) to script complex ELT logic and manage version control via GitHub.
• Troubleshoot production data issues, debug pipelines, and ensure designs meet data governance standards.

Required Skills

• 5-8 years of experience in data engineering with a focus on Snowflake and modern data architecture.
• Expertise in Snowflake architecture, including SnowSQL, Snowpipe, stored procedures, and workload optimization.
• Extensive experience with DBT (CLI and Cloud) for transformation logic and GitHub integration.
• Proven ability to build and deploy large-scale ELT pipelines using Snowflake and DBT.
• Strong skills in SQL scripting, data modeling, and performance tuning.
• Hands-on experience integrating GitHub for CI/CD pipelines involving DBT and Snowflake.
• Experience aligning data engineering practices with data governance and compliance standards.
• Ability to troubleshoot complex production data issues with minimal downtime.

Preferred Skills

• Any Graduation or Post Graduation degree.

Key Skills

Education

Any Graduate