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 energetic 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

- 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 time

📌 Product Support Engineer - Google Cloud Platform (Toronto)
🏢 Equifax
📍 Toronto