Equifax

Equifax

Data Engineer

USA - Georgia - Alpharetta - 30005 · Mid · Full-time

No sponsorshipDetected 7 days ago
PythonGitSQLPostgreSQLMySQLBigQuerySnowflakeAWSGCPCloud PlatformsData EngineeringAgileJiraConfluenceCommunicationProblem Solving

About the role

  • Equifax is where you can power your possible.
  • Primary Location: USA-Atlanta JV White Function: Function - Tech Dev and Client Services Schedule: Full time

Responsibilities

  • Primary role will be to support the DaaS/Digital Marketplace product deployments, support and customizations per customer requirements
  • Support automated monthly uploads & refreshes to Google Marketplace Platform
  • Create and install new product configurations on Google, AWS and Snowflake cloud platforms
  • Able to organize workflow and manage time effectively. Ensures tasks are completed accurately, on time and within budget.
  • Communicate effectively with Peers, Project Leads and Management.

Requirements

  • A bachelor's degree in computer science, information systems or engineering field
  • Experience with batch processing applications.
  • Strong understanding of ETL/ELT processes and data pipeline best practices.

Nice to have

  • Google Cloud Certifications a plus

Compensation

  • We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Benefits

  • We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Company info

  • Execute administrative tasks such as creating buckets/views for new products and shares for customers on Google Marketplace and Google Cloud
  • What could set you apart

Visa & Work Authorization

  • This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

This listing is sourced directly from Equifax's careers page and normalized into a canonical job model.