Generative AI Engineer

Equifax

Quick summary

Work type
On-site
Location
Atlanta, GA · Alpharetta, GA
Posted
38 days ago

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Salary context

How this pay compares to similar roles

Similar $204k
$152k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $162,000–$246,150.

Based on 240 similar postings.

Employer

About Equifax

Equifax is a global data, analytics, and technology company and one of the "Big Three" credit reporting agencies, specializing in consumer and commercial credit information.

Equifax currently has 30 open roles on FindRole.

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At a glance

TL;DR · Generative AI Engineer

Join our dynamic data and analytics team as a senior data engineer, where you will apply your expertise in data characteristics and supply patterns to develop robust rules and tracking processes for data quality. Your daily tasks include building complex data pipelines from multiple sources, integrating and cleansing datasets, and implementing security best practices. You will also mentor junior engineers and stay current with advancements in Google Cloud Platform (GCP) technologies, proposing innovative solutions to enhance our data management systems. Ideal candidates possess advanced skills in Python or SQL, intermediate knowledge of GCP, and experience with Git and CI/CD integration. Additional strengths include familiarity with Vertex AI services, Linux OS, NLP, and MLOps practices, making you a standout contributor in the field of financial data analytics and risk modeling.

What you'll do

  • Develop rules and tracking processes to support data quality models.
  • Build data pipelines from multiple sources for analytical use.
  • Integrate, cleanse, and structure complex datasets for client solutions.
  • Implement security best practices in data pipelines and infrastructure.
  • Troubleshoot data anomalies and develop data quality checks.

What we're looking for

  • 5+ years of experience as a data engineer or related role.
  • Advanced skills in Python or SQL and intermediate scripting language proficiency.
  • Intermediate level understanding and hands-on experience with Google Cloud Platform (GCP).
  • Experience building, maintaining, and troubleshooting moderately complex data pipelines.
  • Demonstrated ability to design and implement advanced data models for performance optimization.
  • Strong Git usage and CI/CD integration skills.

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