Engineer – Cloud & Data Engineering

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

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What We'll Bring

At TransUnion, we are dedicated to finding ways information can be used to help people make better and smarter decisions. As a trusted provider of global information solutions, our mission is to help people around the world access the opportunities that lead to a higher quality of life, by helping organizations optimize their risk-based decisions and enabling consumers to understand and manage their personal information. Because when people have access to more complete and multidimensional information, they can make more informed decisions and achieve great things. Every day TransUnion offers our employees the tools and resources they need to find ways information can be used in diverse ways. Whether it is helping businesses better manage risk, providing better insights so a consumer can qualify for his first mortgage or working with law enforcement to make neighborhoods safer, we are improving the quality of life for individuals, families, communities and local economies around the world.

What You'll Bring

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5 to 7 years of experience in Data Engineering.
• Experience in Telecommunications, an asset.
• Cloud Platforms: Hands‑on experience with Google Cloud Platform (GCP); familiarity with on‑premises infrastructure.
• Data Engineering: Experience building and managing data pipelines using Spark, Kafka, and Dataproc.
• Big Data Ecosystem: Proficient in tools such as Hadoop, Hive, Hue, Oozie, Sqoop and Trino.
• Databases: Strong SQL skills; experience with MySQL, Oracle, PostgreSQL, BigQuery.
• Programming Languages: Skilled in Scala, Python, JavaScript and Java.
• Containerization & Orchestration: Exposure to Kubernetes for deploying and managing scalable applications.
• Version Control & CI/CD: Strong understanding of Git workflows including branching, and merge strategies; experience with GitLab Runner for build and deployment automation.

Impact You'll Make

We are seeking a dynamic and results‑driven Data Engineer with hands‑on expertise across cloud platforms (GCP) and on‑premises infrastructure, Big Data technologies, SQL, and BI technologies. You will work with a cross‑functional team, further developing and maintaining projects on behalf of external clients and also on our internal analytics and data platform.

Project & Delivery Responsibilities

• Contribute to project execution and delivery of cloud‑native and data‑intensive applications.
• Collaborate with cross‑functional teams to support project outcomes.
• Understanding of Agile/Scrum methodologies and ability to work within those frameworks.
• Support adherence to DevOps and cloud governance practices.
• Demonstrate effective communication and stakeholder collaboration skills across teams.

Additional Skills

• Experience with ELK Stack (Elasticsearch, Logstash, Kibana) and MicroStrategy for data visualization and analytics.
• MLOps: Experience managing the lifecycle of machine learning models including training, testing, versioning, and deployment.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in‑person at an assigned TU office location for a minimum of two days a week.

Accommodation is available, including for applicants with disabilities, in accordance with applicable laws.

TransUnion's Internal Job Title: Engineer, Software Development