Senior GCP Data Engineer - BigQuery & AI Solutions

Accenture PLC; Milwaukee (WI); Presencial; USD 90 000 - 210 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Bonuses

Resumo da oferta

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. This role focuses on hands-on delivery of data engineering, analytics, and ML projects on Google Cloud Platform, collaborating with senior architects and client teams.

You will build data pipelines, optimize BigQuery, and implement ML pipelines with Vertex AI and Gemini models.

Qualificações

• 5+ years of hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.
• 4+ years of practical experience with Google Cloud Platform.
• 5 years of experience with SQL, data modeling, and building data pipelines.
• 3 years of experience with Python or AI/GenAI tools (Vertex AI preferred).
• Bachelor’s degree or equivalent work experience (12 years); if Associate’s degree, 6 years minimum.

Responsabilidades

• Deliver hands-on technical delivery of data and AI solutions on GCP.
• Build data pipelines and ETL/ELT processes using BigQuery, Dataflow, Dataproc, and Pub/Sub.
• Assist with data modeling, performance tuning, and query optimization in BigQuery.
• Develop data ingestion patterns for batch and streaming sources; support dashboards in Looker.
• Develop ML models and AI solutions using Vertex AI and Gemini models; establish MLOps pipelines.

Conhecimentos

Data Engineering

Data Analytics

ML Engineering

Formação académica

Bachelor’s degree or equivalent

Ferramentas

Google Cloud Platform

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Looker

Vertex AI

Gemini Foundation Models

Descrição da oferta de emprego

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. This role focuses on hands-on delivery of data engineering, analytics, and ML projects on Google Cloud Platform, collaborating with senior architects and client teams.

You will build data pipelines, optimize BigQuery, and implement ML pipelines with Vertex AI and Gemini models.