Data Engineer

Company Description KPI Sight is a SAAS platform providing analytics services to car dealerships. Role Description This is a full time, hybrid Data Engineer role based in Toronto with flexibility to work from home part time. The Data Engineer will design, build, and maintain data pipelines that power KPI Sight’s dashboards and analytics. Much of this role will involve migrating outdated pipelines to a new structure that you design. Our current stack is GCP -> BigQuery, GCS, Google Cloud Run Prefect Python Postgres Qualifications 2+ years experience as a data engineer Strong raw SQL + Python Experience with modern data engineering tools, pipelines, and best practices. Proficiency in data modelling and data warehousing concepts to design scalable and performant pipelines. Experience with cloud data platforms and services (e.g., AWS, Azure, or GCP) Strong attention to detail. It bothers you if Python code isn't type hinted. Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.