Data Engineer - Python, ETL

Role overview

Astra-North Infoteck Inc. is hiring a Data Engineer for a 7-month assignment based in Toronto, Ontario. The role is hybrid, with 2–3 days required onsite. The position calls for 6–8 years of hands-on data engineering experience and a strong background in designing scalable data pipelines and cloud-driven data solutions.

What you'll do

• Design and develop scalable ETL workflows and data models.
• Create and support large-volume data applications and system integrations.
• Build efficient SQL queries and scripts, and improve their performance.
• Work with modern data platforms such as Databricks and Snowflake, along with other big data technologies.
• Develop orchestration workflows using Airflow or Azure Data Factory.
• Connect APIs and contribute to CI/CD processes using Git and Jenkins.
• Collaborate in an Agile environment while following TDD practices.

Skills and experience needed

• 6–8 years of experience in data engineering.
• Strong programming ability in Python, especially with PySpark and Pandas, or in Java.
• Advanced SQL knowledge.
• Practical experience with ETL, data modeling, and pipeline engineering.
• Exposure to Databricks or Snowflake.
• Cloud experience with Azure or GCP.
• Working knowledge of CI/CD tools such as Git and Jenkins.
• Comfort working in Agile teams.

Preferred background

• Experience in capital markets is an advantage.
• Familiarity with Docker and Kubernetes is a plus.
• Exposure to real-time or low-latency systems is beneficial.

Must-have capabilities

• Python or Java
• ETL and data modeling
• SQL
• Databricks or Snowflake
• Cloud platforms such as Azure or GCP

Assignment details

This engagement is scheduled for 7 months. The role is intended for professionals who can work onsite in a hybrid model in Toronto, with a requirement to be present in the office 2–3 days each week.