Posted 6 days ago
Product Support Engineer - Google Cloud Platform
@ Equifax Canada Co.
Toronto, Ontario
Overview
Equifax Canada Co. is hiring a Product Support Engineer for its Technical Fulfillment team in Toronto to configure, operate and monitor a high-volume batch data delivery platform on Google Cloud. The role involves running Airflow data pipelines, data quality checks and incident support, and requires 4+ years of GCP and YAML experience. The posting states a full-time schedule.
Responsibilities:
- Configure and run data processing workflows on the batch delivery platform
- Deploy and manage Apache Airflow data pipelines
- Monitor data jobs and resolve configuration and scheduling issues
- Perform data quality checks and validation
- Maintain configuration records and documentation
Requirements summary:
- 4+ years of hands-on GCP platform experience
- Bachelor's degree in computer science, IT or equivalent
- Experience with YAML configuration files
- Understanding of cloud computing concepts
- Excellent written and verbal communication in English
Tools & skills
Source and dates
Employer career site / ATS feed · workday
- Employer posting date
- 2026-10-31
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-11-03
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Experience | 4+ years |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | computer science, information technology |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Equifax Canada Co.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 12 |
Synopsis of the role
As a Product Support Engineer within the Technical Fulfillment team, you’ll configure, operate and monitor our high-volume batch data delivery platform built on Google Cloud. You will play a key role in processing and enriching financial data for our clients, ensuring seamless and precise execution with a strong focus on quality and reliability gaining invaluable experience in a dynamic and evolving technological landscape.
What you will do
Platform Configuration and Operation:
- Configure and execute data processing workflows on our batch delivery platform according to established procedures and client specifications.
- Deploy and manage complex data pipelines orchestrated via Apache Airflow.
- Leverage and extend Standard Airflow DAG Templates to ensure deployment consistency and rapid iteration across environments.
- Monitor the execution of data processing jobs, identifying and addressing any issues to ensure timely and accurate delivery.
- Perform data quality checks and validation to ensure the integrity and accuracy of processed information.
- Diagnose and resolve complex configuration, scheduling, and dependency issues within the GCP platform and its associated infrastructure.
- Adhere to established security protocols and maintain the highest standards of data security and privacy in all configuration activities.
- Follow SDLC guidelines for any configuration deployments or changes.
- Maintain accurate records of configurations, processes, and any issues encountered.
- Stay up-to-date with platform updates, new features, and relevant technical information.
- Collaborate effectively with other team members, including configuration Specialists, and provide support as needed.
- Continuous Improvement and Documentation:
- Contribute to the identification of opportunities for process improvement and automation within the configuration workflows.
- Assist in the creation and maintenance of our configuration documentation and knowledge base articles.
- Participate in team meetings and contribute to discussions on process optimization and best practices.
Client Focus:
- Understand the importance of accurate and timely data delivery for our clients.
- Support the team in addressing client inquiries and resolving fulfillment-related issues.
- Take ownership of precise, high-stakes data configurations that directly impact client trust and business outcomes.
- Collaborate with cross-functional partners (including Engineering and Data Operations) to resolve issues and improve delivery processes.
What experience you need
- 4+ years of hands-on experience building and maintaining reliable GCP platforms, maintaining production code, configuring infrastructure via YAML
- Bachelor's degree in computer science, information technology or equivalent.
- Strong analytical, detail-oriented, and proactive approach to problem solving.
- Familiarity with data processing concepts and batch delivery systems.
- Experience working with configuration files (e.g., YAML).
- Understanding of cloud computing concepts, ideally with some exposure to GCP.
- Familiarity with different file encoding formats.
- Experience with API tools for testing and understanding data interfaces.
- Basic scripting skills (e.g., shell scripting) are an asset.
- Excellent written and verbal communication skills in English.
- Ability to follow team procedures accurately and manage multiple priorities effectively.
- Ability to work effectively both independently and as part of a collaborative team.
What could set you apart
- Ability to verify issues by testing in higher environments, be on-call support for Production Incidents as needed
- Experience with GCP services such as Dataflow, Composer, Cloud Storage, or Big Query
- Familiarity with monitoring and logging tools within a cloud environment (e.g.: Google Cloud Logging and Monitoring).
- Exposure to financial services data and an understanding of its sensitivity and importance
- Proficiency in scripting (Python) or object-oriented programming languages (Java)
This is an existing position.
Primary Location:
CAN-Toronto-5700 YongeFunction:
Function - Tech Dev and Client ServicesSchedule:
Full timeJournal
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