Description

You will build and maintain data engineering solutions on Google Cloud Platform using Python and SQL, focusing on ETL/ELT pipeline development and large-scale data processing.

This role is on-site.

Responsibilities

• Develop and optimize ETL/ELT pipelines for large-scale data processing.
• Implement data engineering workflows using Python and SQL on GCP.
• Leverage AI-assisted engineering tools like GitHub Copilot, Claude, or ChatGPT to enhance development efficiency.
• Maintain and improve existing data infrastructure.
• Collaborate on data architecture and pipeline reliability.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong proficiency in Python and SQL.
• Hands-on experience with Google Cloud Platform (GCP).
• Expertise in ETL/ELT pipeline development.
• Experience with large-scale data processing.
• Familiarity with AI-assisted tools such as GitHub Copilot, Claude, or ChatGPT.
• Bachelor’s degree in any field (Any Graduate).

Key Skills

Education

Any Gradute