Google Cloud Data & AI Specialist

Accenture PLC; Philadelphia (Philadelphia County); On-site; USD 54,000 - 196,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid time off

Job summary

Accenture PLC in the United States is seeking hands-on specialists in data engineering, analytics, or ML to grow expertise on Google Cloud Platform. You will work directly with clients, support senior architects, and contribute to end-to-end project delivery across data pipelines, ML, and AI solutions.

Expect collaboration with delivery teams, secure data governance, and ongoing learning of GCP best practices.

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).

Responsibilities

• Hands-On Technical Delivery across data and AI solutions.
• Build data pipelines, ETL/ELT processes using GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage).
• Assist with data modeling, performance tuning, and query optimization in BigQuery.
• Implement data ingestion patterns for batch and streaming sources.
• Support dashboards/analytics products using Looker Studio.
• Contribute to ML/AI solution development with Vertex AI, Gemini models, and embeddings.
• Implement ML pipelines and establish MLOps processes (monitoring, retraining, deployment).
• Support prompt engineering, embeddings, and RAG experiments.
• Participate in client workshops to translate requirements into tasks.

Skills

GCP knowledge

SQL

Python

Data modeling

CI/CD

Looker experience

Education

Bachelor's degree

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Dataplex

Looker Studio

Vertex AI

Gemini models

Job description

Accenture PLC in the United States is seeking hands-on specialists in data engineering, analytics, or ML to grow expertise on Google Cloud Platform. You will work directly with clients, support senior architects, and contribute to end-to-end project delivery across data pipelines, ML, and AI solutions.

Expect collaboration with delivery teams, secure data governance, and ongoing learning of GCP best practices.