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Astra-North Infoteck Inc.  ~ Conquering today’s challenges, achieving tomorrow’s vision!

Data Engineer - Python, ETL

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Toronto, Ontario, Canada (Hybrid) · 全职

抢先申请

经验
6–8 yrs
薪水
职位空缺
1
发布
1 小时前

Where you'll work

职位描述

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.

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