Google Cloud Data Engineer Analyst
Summary
Design, build, and optimize modern data pipelines on Google Cloud using BigQuery, Spark/Dataproc, and Prefect, applying Terraform, GitHub Actions, and data modeling to support analytics and AI at iA Financial Group in a hybrid Montreal/Quebec setting.
Build Google Cloud data pipelines as a Data Analyst with BigQuery, Spark, and Prefect in a flexible hybrid environment. Work from Quebec or Montreal.
At iA Financial Group, this Data Analyst role focuses on designing, industrializing, and optimizing modern data pipelines. You will use GCP services, Terraform, GitHub Actions, and data modeling to support analytics and artificial intelligence. You will collaborate with multidisciplinary teams to deliver governed technical solutions.
Key Responsibilities:
- Design scalable ETL and ELT pipelines on Google Cloud Platform
- Orchestrate resilient workflows using Prefect
- Implement lakehouse architectures and data governance
- Prepare data for analytics and artificial intelligence use cases
- Translate business needs into documented technical solutions
Requirements:
- Five to ten years in data engineering or related fields
- Degree in computer science, software engineering, or equivalent
- Strong BigQuery and Spark or Dataproc experience
- Experience with GitHub, CI/CD, and Terraform
- Excellent French and intermediate English proficiency
Bring GCP, pipeline orchestration, data modeling, and governance expertise to iA Financial Group’s modern data environment.