Data Engineer ETL Expertise

Position: Data Engineer with ETL Expertise
Join a dynamic team as a Data Engineer in Toronto, ON with a focus on building scalable ETL pipelines and cloud solutions in a hybrid work model. Utilize your strong skills in Python and data engineering to make an impact.

This role requires a Data Engineer with 6-8 years of experience in developing ETL pipelines and data models. You will leverage modern big data technologies, particularly Databricks and Snowflake, to maintain large-scale applications. Collaboration in an Agile environment while using CI/CD practices is key to your success in this position.

Key Responsibilities:

• Design and develop scalable ETL pipelines and data models

• Maintain large-scale data applications and integrations

• Optimize SQL queries and scripts for performance

• Build workflows using Airflow or Azure Data Factory

• Integrate APIs and support CI/CD pipelines with Git, Jenkins

Requirements:

• 6-8 years of Data Engineering experience

• Strong Python (PySpark, Pandas) or Java skills

• Proficient in SQL and ETL processes

• Experience with Databricks or Snowflake

• Cloud experience using Azure or GCP

Bring your expertise in data engineering and cloud-based solutions to make a significant impact on data management.
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