Senior GCP Data Engineer: BigQuery, Looker & Vertex AI

Accenture PLC; Walnut Creek (CA); Presencial; USD 94.000 - 266.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision

Life insurance

401(k) plan

Paid holidays

Paid time off

Descripción de la vacante

Accenture is seeking a hands-on GCP Data Engineer to help deliver data modernization, analytics, and AI solutions on Google Cloud Platform. You will build data pipelines, models, and dashboards while collaborating with clients and senior architects to translate requirements into technical tasks.

You will contribute to data governance, MLOps practices, and CI/CD pipelines, leveraging BigQuery, Dataflow, Looker Studio, Vertex AI, and Gemini models. Travel may be required.

Formación

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

Responsabilidades

• Deliver data modernization, analytics, and AI solutions on GCP.
• Build data pipelines, models, and perform analysis.
• Support architecture design under guidance from senior team members.
• Design dashboards using Looker or Looker Studio.
• Collaborate with client workshops to understand data needs and requirements.
• Implement metadata management, data quality checks, and governance using GCP tools.

Conocimientos

GCP

SQL

Python

Data Modeling

ETL/ELT

Looker

ML Engineering

CI/CD

Data Analytics

Educación

Bachelor's degree or equivalent

Herramientas

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker Studio

Vertex AI

Gemini

Descripción del empleo

Accenture is seeking a hands-on GCP Data Engineer to help deliver data modernization, analytics, and AI solutions on Google Cloud Platform. You will build data pipelines, models, and dashboards while collaborating with clients and senior architects to translate requirements into technical tasks.

You will contribute to data governance, MLOps practices, and CI/CD pipelines, leveraging BigQuery, Dataflow, Looker Studio, Vertex AI, and Gemini models. Travel may be required.