Description

You will design, develop, and maintain scalable data pipelines and ELT workflows within a Snowflake environment.

Responsibilities

• Design and manage ELT pipelines and workflows using Snowflake SQL and DBT.
• Implement Snowflake Task Orchestration, schema modeling, and system performance tuning for large-scale data.
• Build and deploy data models to support reporting and analytical solutions.
• Manage complex ELT logic using DBT (CLI and Cloud) with GitHub for version control.
• Troubleshoot production issues, perform pipeline debugging, and optimize for data quality.
• Collaborate with DevOps to implement CI/CD pipelines involving GitHub, DBT, and Snowflake.

Required Skills

• 5+ years of experience in data engineering with a focus on Snowflake architecture.
• Proficiency in Snowflake SQL, SnowSQL CLI, and Snowpipe for real-time and batch loading.
• Extensive experience with DBT (CLI and Cloud) for transformation logic.
• Strong expertise in SQL scripting, data modeling, and schema design.
• Hands-on experience with ELT pipeline design and workload optimization.
• Practical knowledge of GitHub for version control and CI/CD integration.
• Proven ability in performance tuning and troubleshooting complex production data issues.
• Experience aligning engineering practices with data governance and security standards.

Preferred Skills

• Experience with GitHub Actions for deploying updates to production.

Key Skills

Education

Any Graduate