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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.

Data Engineer - Python, ETL

Where you'll work