Data Engineer II — Scalable ETL & ML Data Platforms

Amazon Jobs; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading global tech company is seeking an expert Data Engineer in Toronto to design and operate scalable data solutions. The role involves building robust ETL pipelines with SQL and AWS services, while collaborating with Data Scientists to enable machine learning models. They require strong experience in data modeling and mining, and Python programming. Join a high-leverage team focused on automation and efficiency, optimizing for cost and customer experience.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience programming with at least one software programming language.
• Strong expertise in data mining, management, reporting, and SQL queries.
• Exposure to non-relational databases and data stores.

Responsibilities

• Design, implement, and support scalable data platforms.
• Build automated, fault-tolerant data integration pipelines.
• Collaborate with Data Scientists to define data structures.
• Implement best practices for data structures and modeling.
• Improve data processes for self-service support.

Skills

Data modeling

ETL/ELT pipelines

SQL programming

AWS services

Data integration

Data mining

Python programming

Tools

Redshift

AWS Glue

S3

EMR

Kinesis

FireHose

Lambda

Job description

A leading global tech company is seeking an expert Data Engineer in Toronto to design and operate scalable data solutions. The role involves building robust ETL pipelines with SQL and AWS services, while collaborating with Data Scientists to enable machine learning models. They require strong experience in data modeling and mining, and Python programming. Join a high-leverage team focused on automation and efficiency, optimizing for cost and customer experience.