Cloud AI Data Engineer

About the role

As a Cloud AI Data Engineer, you will design, build, and optimize AI-ready data pipelines across GCP, and Snowflake. You will work closely with data science, engineering, and business teams to integrate structured data, create high-quality synthetic datasets, and support scalable AI solutions through robust ETL pipelines, APIs, and backend workflows.

What you'll do

• Design, build, and optimize AI-ready data pipelines across GCP, and Snowflake
• Work closely with data science, engineering, and business teams to integrate structured data, create high-quality synthetic datasets
• Design, build, and maintain scalable AI-ready data pipelines across GCP, and Snowflake
• Develop and optimize ETL workflows to ingest, transform, validate, and integrate structured data for analytics and AI solutions
• Create and curate synthetic datasets that reflect real-world data patterns, edge cases, and business scenarios for AI model development and testing

What you need

• 3–6 years in data science & ai
• Machine learning
• SQL
• ETL
• Python
• Snowflake
• Data modelling
• Any graduate

Good to have

• GCP
• CI/CD