GCP Data Specialist: BigQuery, Looker & AI Pipelines

Accenture; Nashville (TN); On-site; USD 90,000 - 150,000; Full time

Job summary

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP, collaborating with senior architects and client teams.

Travel may be required to support client engagements in the US. You will build data pipelines, assist with data modeling, implement ingestion patterns, and help develop dashboards

Qualifications

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

Responsibilities

• Hands-On Technical Delivery of data solutions on GCP.
• Support architecture design and data pipelines using BigQuery, Dataflow, Pub/Sub, Dataproc.
• Assist in data modeling, performance tuning, and query optimization in BigQuery.
• Support development of dashboards and analytics products using Looker or Looker Studio.
• Assist in ML model development and MLOps processes (monitoring, retraining, deployment).

Skills

Data Engineering

Analytics

Machine Learning

Python

SQL

Education

Bachelor's degree

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Vertex AI

Gemini

Gemini Enterprise

Model APIs

Job description

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP, collaborating with senior architects and client teams.

Travel may be required to support client engagements in the US. You will build data pipelines, assist with data modeling, implement ingestion patterns, and help develop dashboards