Transform infrastructure data at Citylitics Inc. as a Data Engineer in Toronto. Utilize your skills in Python and SQL to build AI-driven pipelines and data models. Join a collaborative team focused on improving public infrastructure through predictive intelligence.
As a Data Engineer, you will design and manage data pipelines leveraging GCP services like BigQuery and Cloud Composer. This hybrid role allows for impactful work with a strong emphasis on collaboration, data modeling, and cutting-edge AI workflows. Key Responsibilities:
- Lead the development of reliable data pipelines using Airflow
- Design scalable data models in partnership with stakeholders
- Build AI workflows for structured data from raw documents
- Implement continuous improvements to data infrastructure
- Collaborate closely with product and analyst teams Requirements:
- Proficient in Python and SQL
- 3+ years of Data Engineer experience
- Experience with Airflow and BigQuery production pipelines
- Solid understanding of data modeling and ETL/ELT
- Familiar with LLM APIs and cloud platforms (GCP preferred) Bring your expertise in data engineering and AI to create impactful solutions at Citylitics Inc.
📌 Data Engineer with AI Expertise (Toronto)
🏢 Citylitics
📍 Toronto
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