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Product Support Engineer - Google Cloud Platform

Equifax Inc.

Synopsis of the roleAs 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 doPlatform 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.
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Vacancy posted 1 hour ago
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