Data Engineer: Scalable ETL & AI-Ready Pipelines

RBC; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading financial institution in Toronto is seeking a passionate data engineer to design and implement automated data processing solutions. The ideal candidate will have over 4 years of experience in Python, Apache Spark, and large-scale data pipelines. Responsibilities include building scalable ETL data pipelines and collaborating with business partners. A dynamic team environment offers opportunities for impactful work and professional growth.

Benefits

Work in a dynamic and collaborative team

Opportunities to do challenging work

Ability to make a difference and lasting impact

Qualifications

• 4+ years experience with data engineering and large-scale databases.
• Experience in designing and developing large-scale data pipelines.
• Strong understanding of statistical methodology and data analysis.

Responsibilities

• Design and build efficient and scalable ETL/ELT data pipelines.
• Collaborate with business stakeholders on requirements gathering.
• Support project teams to scale and operate data platforms.

Skills

Python

Apache Spark

SQL

Airflow

Hadoop

Unix scripting

Data analysis

Education

Education in software engineering or computer science

Tools

Github

Cloud technologies (AWS, Azure, GCP)

Job description

A leading financial institution in Toronto is seeking a passionate data engineer to design and implement automated data processing solutions. The ideal candidate will have over 4 years of experience in Python, Apache Spark, and large-scale data pipelines. Responsibilities include building scalable ETL data pipelines and collaborating with business partners. A dynamic team environment offers opportunities for impactful work and professional growth.