Join Citylitics Inc. as a Data Engineer, focusing on data pipelines and AI-driven solutions in a hybrid role based out of Toronto. Utilize your expertise in Python, SQL, and orchestration tools to shape the future of infrastructure investments.
As a Data Engineer, you'll collaborate with analysts and stakeholders to build and maintain mission-critical data products. This role involves designing production pipelines, creating scalable data models, and deploying LLM-powered features. Adaptability, strong technical skills, and effective collaboration are essential as we leverage cutting-edge technologies to drive continuous improvement.
Key Responsibilities:
- Lead the design and maintenance of data pipelines using Airflow
- Develop scalable data models and dashboards collaboratively
- Employ LLMs to transform documents into structured data
- Drive ongoing enhancement of data infrastructure
- Adapt and introduce new technologies and best practices
Requirements:
- 3+ years experience as a Data Engineer in cloud environments
- Proficient in Python, SQL, and data engineering fundamentals
- Experience with BigQuery and Airflow/Cloud Composer
- Proven ability to deploy LLM-powered solutions
- Familiarity with AI coding agents and CI/CD practices
Utilize your data engineering skills to revolutionize infrastructure insights with Citylitics and make a meaningful impact.
