Build cloud-based data pipelines at Ipsos using Python, SQL, and serverless technologies to process large-scale datasets. This role supports the Ipsos DataHub.
As a Senior Software Engineer focused on data engineering, you will expand and optimize pipeline architecture within Ipsos DataHub. You will design data solutions, develop warehouses, and assemble information from disparate sources. The work includes GCP services, AWS familiarity, AI/LLM workflow evaluation, and production deployment.
Key Responsibilities: Design, code, and test cloud-based data pipelines
Develop cost-optimal warehouses for complex datasets
Ingest disparate data using Python and SQL
Drive development-code migration into production
Troubleshoot infrastructure and improve codebases
Requirements: Five-plus years of skilled data engineering experience
Bachelor’s degree in computer science or related field
Proficiency in Python and advanced SQL knowledge
Hands-on GCP experience, including BigQuery and GCS
Production experience designing large-scale data pipelines
Apply data engineering expertise in Python, SQL, GCP, and serverless pipelines to strengthen Ipsos DataHub.

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📌 Senior Data Engineer Cloud Pipelines (British Columbia)
🏢 Ipsos in Canada
📍 British Columbia