Cloud Data Engineer: GCP, Spark & BI; Hybrid

TransUnion; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A global information solutions provider in Toronto is seeking a Data Engineer. The role involves building and managing data pipelines using various technologies while collaborating with cross-functional teams. The ideal candidate has strong experience in Data Engineering, Cloud Platforms like GCP, and expertise in Big Data tools. This is a hybrid position requiring in-person work at least two days a week.

Benefits

Hybrid work model

Accommodation for applicants with disabilities

Qualifications

• 5 to 7 years of experience in Data Engineering.
• Proficient in tools such as Hadoop, Hive, and Sqoop.
• Strong SQL skills; experience with MySQL, Oracle, and PostgreSQL.

Responsibilities

• Contribute to project execution and delivery of cloud-native applications.
• Collaborate with cross-functional teams.
• Support adherence to DevOps and cloud governance practices.

Skills

Data Engineering

Cloud Platforms

Big Data Ecosystem

SQL

Programming Languages

Containerization & Orchestration

Version Control & CI/CD

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Google Cloud Platform (GCP)

Hadoop

Kubernetes

ELK Stack

Job description

A global information solutions provider in Toronto is seeking a Data Engineer. The role involves building and managing data pipelines using various technologies while collaborating with cross-functional teams. The ideal candidate has strong experience in Data Engineering, Cloud Platforms like GCP, and expertise in Big Data tools. This is a hybrid position requiring in-person work at least two days a week.