Data Engineer (ETL) - Python, Databricks, Snowflake - Hybrid

Insight Global; Montreal; Hybrid; CAD 68,880 - 82,656; Full time

Job summary

A strategic staffing and consulting agency is seeking a Data Engineer to design and implement data pipelines for a banking client. The ideal candidate has over 4 years of experience with Python, Databricks, and Snowflake. This position is full-time and hybrid, requiring candidates to be local to the Montreal area. Responsibilities include building ETL pipelines, collaborating in an Agile environment, and maintaining data workflows for accuracy and performance.

Qualifications

• 4+ years of experience in data engineering and related technologies.
• Strong Python experience (Pandas, NumPy, PySpark).
• Familiarity with ETL principles and data modeling.

Responsibilities

• Build and optimize ETL pipelines for data transformation.
• Collaborate with cross-functional teams in an Agile environment.
• Develop and maintain data workflows, ensuring accuracy and performance.

Job description

A strategic staffing and consulting agency is seeking a Data Engineer to design and implement data pipelines for a banking client. The ideal candidate has over 4 years of experience with Python, Databricks, and Snowflake. This position is full-time and hybrid, requiring candidates to be local to the Montreal area. Responsibilities include building ETL pipelines, collaborating in an Agile environment, and maintaining data workflows for accuracy and performance.