Senior GCP Data Engineer: BigQuery, ML & AI Pipelines

Accenture PLC; Miami (FL); Sur place; USD 110 000 - 210 000; Plein temps

Résumé du poste

Accenture PLC, a premier Google Cloud partner, seeks a GCP Senior Data Engineer to deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines, models, and analytics products under guidance from senior team members.

The role emphasizes hands‑on delivery, data governance, and collaboration with clients and architects, with travel as needed.

Qualifications

• Minimum of 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 (minimum 12 years) work experience.

Responsabilités

• Hands‑On Technical Delivery: Build data pipelines, ETL/ELT processes, and integrations 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 data sources.
• Support dashboards and analytics products using Looker or Looker Studio.

Connaissances

Data engineering

Analytics

ML engineering

Client collaboration

SQL

Python

GCP

Formation

Bachelor's degree or higher

Outils

BigQuery

Dataflow

Dataproc

Pub/Sub

Looker

Vertex AI

Description du poste

Accenture PLC, a premier Google Cloud partner, seeks a GCP Senior Data Engineer to deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines, models, and analytics products under guidance from senior team members.

The role emphasizes hands‑on delivery, data governance, and collaboration with clients and architects, with travel as needed.