Description

Key Requirements:

• 3+ years Google Cloud Platform (GCP) experience
• Strong data engineering background (not application dev)

Core Technologies:

• GCP stack:
  • Cloud Composer
  • BigQuery (critical)
  • Pub/Sub
  • Dataflow
  • Cloud Functions
  • Workflows
  • GKE
• Programming:
  • Python (mandatory)

Key Focus Areas:

• AI & data pipelines
• Framework and pipeline development
• BigQuery performance + cost optimization

Additional Expectations:

• Experience using AI tools (e.g., Copilot) for productivity
• CI/CD (GitHub Actions, etc.)
• Strong delivery mindset

Technology & Program Context

• Majority of work is new build (greenfield)
• Focus areas:
  • AI-driven architecture
  • Data platforms (GCP)
  • Enterprise data accessibility

Modernization Efforts (Limited but Relevant)

• Some migration of:
  • Legacy AI/ML models → GCP
• Not full app modernization, but:
  • Platform + model transitions
  • Data standardization initiatives

Architecture & Data Strategy

• Building ADS (Analytical Data Stores) on GCP
• Objective:
  • Make data accessible and reusable enterprise-wide
  • Ensure data is AI-ready
    • Includes semantic layers, governance

Integration Model

• Applications may remain on-prem or migrate independently
• Focus is on:
  • Standardizing data output into GCP
• Collaboration with:
  • Enterprise/central tech teams (CDO, CTO)
  • Shared tooling and frameworks

Key Skills

Education

Any Graduate