Description

You will transform complex system-level data into high-quality, AI-ready data products within a Google Cloud Platform environment, bridging backend data orchestration and frontend application development.

This role is on-site.

Responsibilities

• Translate system-level data into business-friendly semantic models and Generative AI-ready datasets.
• Build orchestration, serving, and API layers using Cloud Dataflow, Pub/Sub, and Cloud Functions.
• Implement CI/CD pipelines with GitHub Actions and automate infrastructure provisioning using Terraform.
• Manage the data lifecycle from discovery to production integration, supporting structured and unstructured formats.
• Design data structures for Vertex AI, enabling agentic reasoning, tool calling, and long-term memory.

Required Skills

• 5+ years of experience in full-stack development with a focus on orchestration and serving layers.
• Proficiency in Python, SQL, and GCP services including Cloud Run, Cloud Functions, and Cloud Composer.
• Expert-level experience with Terraform for Infrastructure as Code and GitHub Actions for CI/CD.
• Strong background in dimensional data modeling, semantic layers, and metadata management.
• Experience preparing datasets for Vertex AI and building foundations for Agentic AI frameworks.
• Deep knowledge of Data Governance, Data Quality, and Data Security frameworks.
• Ability to integrate with third-party applications and web portals.

Key Skills

Education

Any Graduate