Hybrid Big Data Engineer — Python, Spark & ETL

Pacer Group; Mississauga; Hybrid; CAD 125,000 - 130,000; Full time

Job summary

Pacer Group in Canada is seeking a data engineer to design and implement ETL workflows, optimize Spark jobs, and manage data pipelines. The role requires hands-on Python skills and experience with Hadoop and cloud storage.

The position is full-time with a hybrid work arrangement (3 days on-site per week) and offers a competitive CAD salary plus benefits, with an application deadline of Sept 30, 2026.

Qualifications

• Hands-on Python for data manipulation and automation.
• Design and implement ETL workflows for structured/unstructured data.
• Work with Hadoop, distributed systems, and cloud storage.

Responsibilities

• Perform Spark job optimization, performance tuning, and resource management.
• Develop unit tests and troubleshoot data pipeline issues.
• Collaborate with data engineers, analysts, and stakeholders to deliver data solutions.

Skills

Python

ETL design

Hadoop

Spark tuning

Unit testing

Data pipelines

Job description

Pacer Group in Canada is seeking a data engineer to design and implement ETL workflows, optimize Spark jobs, and manage data pipelines. The role requires hands-on Python skills and experience with Hadoop and cloud storage.

The position is full-time with a hybrid work arrangement (3 days on-site per week) and offers a competitive CAD salary plus benefits, with an application deadline of Sept 30, 2026.