Cloud Data Engineer II: Scalable ETL & ML Data

Amazon; Toronto; On-site; CAD 100,000 - 120,000; Full time

Job summary

A leading tech company in Toronto is looking for a Data Engineer to develop and maintain the data infrastructure for automation processes. This role involves designing scalable data solutions, creating reliable ETL pipelines, and collaborating with teams to implement machine learning models. Ideal candidates will have over 3 years of data engineering experience, strong SQL and programming skills, and expertise in AWS technologies. This position offers the opportunity to impact efficiency across the organization.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Programming experience in at least one software language.
• Proficient in data mining, management, reporting, and SQL queries.

Responsibilities

• Design and support a scalable platform for data access.
• Build automated and fault-tolerant ETL/ELT pipelines.
• Collaborate with Data Scientists to define data structures.
• Implement data structures and practices for enhanced accessibility.
• Improve data processes for self-service support.

Skills

Data modeling

ETL pipelines

SQL

Python

Data mining

Tools

AWS Redshift

AWS Glue

AWS S3

Job description

A leading tech company in Toronto is looking for a Data Engineer to develop and maintain the data infrastructure for automation processes. This role involves designing scalable data solutions, creating reliable ETL pipelines, and collaborating with teams to implement machine learning models. Ideal candidates will have over 3 years of data engineering experience, strong SQL and programming skills, and expertise in AWS technologies. This position offers the opportunity to impact efficiency across the organization.