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Junior Data Engineer

Citylitics · Toronto, Canada

External listingfull-timeabout 1 month ago

About The Role

Join our team as a Junior Data Engineer, where you'll design, build, and maintain production data pipelines that power customer-facing solutions. You'll work with GCP services like Cloud Composer, Cloud SQL, and BigQuery, and collaborate with data analysts and stakeholders to define data requirements and design efficient data models. This role offers flexible hours, comprehensive benefits, and the opportunity to work in a collaborative environment focused on impactful projects.

  • Design, build, and maintain production data pipelines using Airflow and BigQuery, from initial design through to deployment and ongoing maintenance.
  • Collaborate with data analysts and stakeholders to define data requirements, and design efficient and effective data models within BigQuery.
  • Serve as the dedicated data engineering resource for Custom Solutions work, partnering closely with Data, Product, and Customer Success teams to translate client requirements into technical solutions.
  • We're looking for a skilled and enthusiastic Junior Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone who can hit the ground running
  • This role requires a solid understanding of data engineering best practices, and experience with orchestration, data modeling, and data warehouses
  • Beyond the technical skills, we value collaboration, a proactive approach to problem-solving, and a willingness to learn and adapt to evolving technologies. If you're passionate about data, thrive in a collaborative environment, and are excited by the prospect of working on impactful projects, we encourage you to apply
  • Excellent communication and collaboration skills - you'll be working closely with analysts and other stakeholders
  • Proven experience (2+ years) building and maintaining data pipelines using Airflow/Cloud Composer
  • Excellent problem-solving skills and a proactive approach to identifying and resolving issues
  • Experience with Git and cloud platforms (GCP preferred)
  • Comfort and enthusiasm for using AI tools like Claude in your daily workflow
  • Experience building and deploying interactive dashboards or data apps (e.g., Dash on Cloud Run) is a plus
  • Strong understanding of data warehousing principles and experience working with BigQuery
  • Proficiency in Python and SQL
  • Understanding of data engineering fundamentals, like ETL/ELT, data modeling, and building idempotent, reliable pipelines

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