Google Data Engineering Consultant

This role focuses on building and supporting cloud-based data and AI solutions on Google Cloud Platform (GCP). The Data Engineer II will design, develop, test, and deploy data pipelines, platform components, and AI-enabled solutions, with a focus on data preparation, feature engineering, model testing, and model evaluation.

What you'd actually do

  1. Support the development, testing, and deployment of applications and data pipelines on Google Cloud Platform
  2. Configure and maintain GCP services including BigQuery, Cloud Storage, Vertex AI, Cloud Run, and Compute Engine
  3. Assist with data preparation, feature engineering, model testing, and model evaluation activities
  4. Monitor solution performance, troubleshoot production issues, and support optimization efforts
  5. Document technical designs, implementation steps, and operational processes while collaborating with cross-functional teams to translate business requirements into technical solutions

Skills

Required

  • Python
  • Java
  • SQL
  • Google Cloud Platform services (BigQuery, Cloud Storage, Vertex AI, Cloud Run, Compute Engine)
  • data pipelines
  • extract transform load processes
  • structured data processing
  • Google Cloud Platform

Nice to have

  • Vertex AI
  • application programming interfaces
  • machine learning operations concepts
  • Git
  • Docker
  • Google Cloud certification

What the JD emphasized

  • Google Cloud Platform
  • data pipelines
  • Vertex AI
  • model testing
  • model evaluation

Other signals

  • design and deliver modern data solutions
  • build scalable platforms, analytics products, and data pipelines
  • AI-enabled solutions