Senior GCP Data Engineer: Real-Time Analytics & AI

Accenture; Atlanta (GA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture is seeking a GCP Senior Data Engineer to help deliver data modernization, analytics, and AI solutions on Google Cloud Platform. You will design architectures, build pipelines, and model data under guidance from senior colleagues.

You will support ML/AI solution development with Vertex AI, Gemini models, and CI/CD practices while collaborating with delivery teams and clients. Travel may be required depending on client needs.

Qualifications

• Minimum 5 years of 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 work experience (minimum 12 years).

Responsibilities

• Hands-on technical delivery for data modernization, analytics, and AI on GCP.
• Build data pipelines and models using BigQuery, Dataflow, Dataproc, and Pub/Sub.
• Support Looker/Looker Studio dashboards and analytics products.
• Help develop ML models and AI solutions with Vertex AI and Gemini tools.
• Collaborate with clients and senior architects to translate requirements into tasks.

Skills

Data Engineering

Data Analytics

ML Engineering

Google Cloud Platform

SQL

Python

Education

Bachelor's degree

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Vertex AI

Looker

Job description

Accenture is seeking a GCP Senior Data Engineer to help deliver data modernization, analytics, and AI solutions on Google Cloud Platform. You will design architectures, build pipelines, and model data under guidance from senior colleagues.

You will support ML/AI solution development with Vertex AI, Gemini models, and CI/CD practices while collaborating with delivery teams and clients. Travel may be required depending on client needs.