Toronto, CAhybridPosted Jun 16, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

Skills

kubernetesdatabrickssnowflakeairflowjenkinsdockerpandaspythonazurecicdjavagooglecloud

About the role

Data Engineer - Python, ETL

Location: Toronto, ON (Hybrid – 2–3 days onsite) Duration: 7 Months Experience: 6–8 Years

Role Summary

Looking for a Data Engineer with strong experience in building scalable ETL pipelines, data models, and cloud-based data solutions using modern big data technologies.

Key Responsibilities

Design and build scalable ETL pipelines and data models

Develop and maintain large-scale data applications and integrations

Write and optimize SQL queries and scripts

Work with Databricks / Snowflake and big data tools

Build workflows using Airflow or Azure Data Factory

Integrate APIs and support CI/CD pipelines (Git, Jenkins)

Work in Agile environment with TDD practices

Required Skills

6–8 years Data Engineering experience

Strong Python (PySpark, Pandas) or Java

Strong SQL skills

ETL, data modeling, and pipeline development

Experience with Databricks or Snowflake

Cloud experience (Azure or GCP)

CI/CD (Git, Jenkins) + Agile

Preferred

Capital Markets experience

Docker / Kubernetes

Real-time or low-latency systems

Must-Have

Python or Java

ETL + Data Modeling

SQL

Databricks/Snowflake

Cloud (Azure/GCP)

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