GCP Data Engineer: BigQuery, Looker & Vertex AI

Accenture PLC

Cincinnati (OH)

On-site

USD 59,000 - 157,000

Full time

24 hours ago
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Benefits offered by this job

401(k) plan
Medical coverage
Dental coverage
Paid time off

Job summary

Accenture seeks a GCP Data Specialist to deliver data modernization, analytics, and AI solutions on Google Cloud. You will support architecture design, build data pipelines, model development, and data governance with client collaboration.

You will work with BigQuery, Dataflow, Dataproc, Pub/Sub, and Looker Studio, applying best practices in data quality, security, and MLOps, while learning from senior engineers and architects on diverse projects.

Qualifications

  • Minimum of 2 years hands-on experience in Data Engineering, Analytics, ML Engineering, or related fields.
  • Minimum of 2 years practical experience with Google Cloud Platform.
  • Minimum of 2 years experience with SQL, data modeling, and building data pipelines.
  • Bachelor's degree or equivalent (minimum 12 years' work experience).

Responsibilities

  • Deliver data modernization, analytics, and AI solutions on GCP.
  • Support architecture design and build data pipelines and models.
  • Assist with data modeling, performance tuning, and query optimization in BigQuery.
  • Implement data ingestion for batch and streaming sources.
  • Support dashboards and analytics products using Looker or Looker Studio.
  • Develop ML models and AI solutions using Vertex AI and Gemini models.
  • Establish ML workflows and MLOps practices including monitoring and retraining.

Skills

GCP
SQL
Python
Data Modeling
ETL/ELT
BigQuery
Looker
CI/CD
Git
Client Collaboration

Education

Bachelor's degree or equivalent

Tools

BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Storage
Looker Studio
Vertex AI
Gemini

Job description

Accenture seeks a GCP Data Specialist to deliver data modernization, analytics, and AI solutions on Google Cloud. You will support architecture design, build data pipelines, model development, and data governance with client collaboration.

You will work with BigQuery, Dataflow, Dataproc, Pub/Sub, and Looker Studio, applying best practices in data quality, security, and MLOps, while learning from senior engineers and architects on diverse projects.

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