Senior Data Engineer – Cloud, PySpark & AWS Leader

RBC; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Data Engineer to support the development of scalable data stores. The ideal candidate will have over 5 years of experience with cloud platforms like AWS and with PySpark for data engineering. Responsibilities include developing backend systems, collaborating with cross-functional teams, and mentoring engineers. The role is full-time and offers a comprehensive compensation package.

Benefits

Comprehensive Total Rewards Program

Flexible work/life balance options

World-class training program

Qualifications

• 5+ years of experience with cloud platforms, including AWS.
• 5+ years of experience with PySpark for Data Engineering/ETL pipelines.
• Strong problem-solving skills, able to debug complex issues.

Responsibilities

• Develop and maintain backend systems using Python and PySpark.
• Collaborate with teams to define and prioritize requirements.
• Mentor engineers and provide technical guidance.

Skills

AWS

PySpark

Docker

Kubernetes

Agile methodologies

Tools

Python

AWS Glue

Amazon S3

Job description

A leading financial institution in Toronto is seeking a Data Engineer to support the development of scalable data stores. The ideal candidate will have over 5 years of experience with cloud platforms like AWS and with PySpark for data engineering. Responsibilities include developing backend systems, collaborating with cross-functional teams, and mentoring engineers. The role is full-time and offers a comprehensive compensation package.