GCP Data & AI Specialist — Modernize Analytics & ML

Accenture

Minneapolis (MN)

On-site

USD 64,000 - 169,000

Full time

14 days+
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Job summary

Accenture is seeking a GCP Data Specialist in Minnesota to deliver data modernization, analytics, and AI solutions on Google Cloud. You will support architecture design, build data pipelines, models, and analytics products under guidance from senior team members.

The role emphasizes hands-on delivery, data governance, and collaboration with clients and delivery teams. Travel may be required based on client needs.

Qualifications

  • 2+ years hands-on experience in Data Engineering, Analytics, ML Engineering, or related fields.
  • 2+ years practical experience with Google Cloud Platform.
  • 2+ years of experience with SQL, data modeling, and building data pipelines.
  • 2+ years of Python or AI/GenAI tools (Vertex AI preferred).
  • Bachelor's degree or equivalent (minimum 12 years' work experience)

Responsibilities

  • Hands-on technical delivery: build data pipelines, ETL/ELT, and integrations using GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage).
  • Support data modeling, performance tuning, and query optimization in BigQuery.
  • Implement data ingestion patterns for batch and streaming sources.
  • Support dashboards and analytics products using Looker or Looker Studio.
  • Develop ML models and AI solutions using Vertex AI, Gemini models, and model APIs.

Skills

Data Engineering
Data Analytics
ML Engineering
Python

Education

Bachelor's degree or equivalent

Tools

BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Storage
Vertex AI
Gemini

Job description

Accenture is seeking a GCP Data Specialist in Minnesota to deliver data modernization, analytics, and AI solutions on Google Cloud. You will support architecture design, build data pipelines, models, and analytics products under guidance from senior team members.

The role emphasizes hands-on delivery, data governance, and collaboration with clients and delivery teams. Travel may be required based on client needs.

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