Data Engineer — Cloud Pipelines & Analytics (Hybrid, Toronto)

CGI; Toronto; Hybrid; CAD 95,000 - 145,000; Full time

Job summary

A leading IT consulting firm in Toronto is seeking a Data Engineer to design and maintain scalable data platforms. The ideal candidate will develop robust data pipelines using Python and SQL, implement efficient ETL processes, and optimize data storage solutions across platforms like AWS. This role requires strong cloud engineering skills and experience with data warehousing concepts, making it perfect for professionals looking to leverage their technical expertise and contribute to advanced data science initiatives. Competitive salary offered.

Benefits

Competitive salary

Hybrid work model

Career development opportunities

Qualifications

• Strong proficiency in Python with knowledge of R.
• Hands-on experience with MongoDB, HDFS, Hive, and Postgres.
• Advanced SQL skills with query engines like Trino.
• Experience with cloud services on AWS.

Responsibilities

• Design and maintain robust data pipelines using Python and SQL.
• Implement ETL processes for structured and semi-structured data.
• Optimize data storage and access across various platforms.
• Develop and deploy data solutions on AWS.

Skills

Python

SQL

MongoDB

Spark/PySpark

AWS

Docker

Kubernetes

Airflow

Tools

Docker

Kubernetes

Airflow

S3

Postgres

Hive

HDFS

Trino

Job description

A leading IT consulting firm in Toronto is seeking a Data Engineer to design and maintain scalable data platforms. The ideal candidate will develop robust data pipelines using Python and SQL, implement efficient ETL processes, and optimize data storage solutions across platforms like AWS. This role requires strong cloud engineering skills and experience with data warehousing concepts, making it perfect for professionals looking to leverage their technical expertise and contribute to advanced data science initiatives. Competitive salary offered.