Description

You will build and manage data pipelines and machine learning workflows within the Google Cloud Platform ecosystem.

This role is on-site.

Responsibilities

• Develop and maintain data processing pipelines using Python and SQL.
• Implement and deploy AI/ML models into production environments.
• Optimize complex SQL and PL/SQL queries for data retrieval and manipulation.
• Manage data infrastructure and workflows on GCP.
• Ensure scalable and efficient data architecture across cloud services.

Required Skills

• 10+ years of professional experience in data engineering or related roles.
• Expertise in Google Cloud Platform (GCP) services and tools.
• Advanced proficiency in Python for data engineering tasks.
• Strong command of SQL and PL/SQL for complex data manipulation.
• Hands-on experience with AI/ML implementation and deployment.
• Bachelor's degree or equivalent experience in any field.
• Experience managing data infrastructure at scale.

Preferred Skills

• Experience with large-scale distributed data systems.
• Knowledge of MLOps practices and model monitoring.

Key Skills

Education

Any Graduate