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First seen by Alion on Nov 14, 2026. Equifax scores B on the Alion truth index.

Overview
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Equifax is a global data, analytics and technology company headquartered in Atlanta, Georgia, and one of the three major US consumer credit reporting agencies, supplying credit reports and scores, identity and fraud prevention tools, and employment and income verification. Tracing its brand heritage to 1899 and listed on the New York Stock Exchange, it operates in 24 countries with about 14,000 employees and serves banks, lenders, employers, healthcare organizations and government agencies as well as consumers. It hires software and agentic AI engineers, site reliability engineers, account executives, fraud investigators, product managers and customer service staff.

Ready to work on the front lines of data delivery, leveraging the power of Google Cloud? If you're a detail-oriented problem-solver who enjoys working with sophisticated technology and contributing to a mission-critical platform, this role is for you!


As a Product Support Analyst 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'll do:

  • 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 (Software Development Life Cycle) 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.
  • Contribute to the identification of opportunities for process improvement and automation within the configuration workflows.
  • Assist in the creation and maintenance of configuration documentation and knowledge base articles.


Client Focus:

  • Understand the importance of accurate and timely data delivery for 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.


What could set you apart:

  • Ability to verify issues by testing in higher environments and be on-call support for production incidents as needed.
  • Experience with GCP services such as Dataflow, Composer, Cloud Storage, or BigQuery.
  • Familiarity with monitoring and logging tools within a cloud environment (e.g., Google Cloud Logging and Monitoring).
  • Proficiency in scripting (Python) or object-oriented programming languages (Java).

Skills

Airflow, Apache Airflow, GCP, Google Cloud, YAML

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