Product Support Engineer - Google Cloud Platform
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Posted by Equifax Canada Co. on the hiring system it uses for its careers page; applications go straight to the company.
Can I apply?
- Full-time
- Work permit not stated
Full-time Product Support Engineer role on Equifax's Google Cloud batch data delivery platform, based in Toronto, Ontario.
Requires 4+ years of hands-on GCP platform experience, YAML configuration experience, and a Bachelor's degree in computer science, IT or equivalent.
Requires excellent written and verbal communication in English; on-call production support is a 'could set you apart' item, not a stated requirement.
Salary, work arrangement (onsite/hybrid/remote) and work authorization are not stated in the posting.
From the posting
- locations
ATS location: CAN - Ontario - Toronto
- employment types
Schedule: Full time
- job function
Product Support Engineer - Google Cloud Platform
- role family
Function - Tech Dev and Client Services
- skills
Experience with GCP services such as Dataflow, Composer, Cloud Storage, or Big Query
- skills
Deploy and manage complex data pipelines orchestrated via Apache Airflow.
- skills
Experience working with configuration files (e.g., YAML).
- years experience min
4+ years of hands-on experience building and maintaining reliable GCP platforms
- education required
Bachelor's degree in computer science, information technology or equivalent.
- languages required
Excellent written and verbal communication skills in English.
- actionable
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.
Job description
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 Yonge
Function: Function - Tech Dev and Client Services
Schedule: Full time
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