Senior Data Engineer at Equifax Inc. in St. Louis, Missouri

Job Description:

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Workforce Solutions Data & Analytics (EWS D&A) is a high-energy, fast-growing organization within Equifax charged with building and supporting best-in-industry data assets and analytical solutions. We deliver solutions and insights to enable success for our customers, drive growth for our business, and create value for our shareholders.

As a Senior Data Engineer, you will lead the evolution of our data platform, and build data products and self-service solutions for the users of our data platform.
What you'll do

• Design and implement data engineering frameworks to scale development and deployment of data pipelines across the D&A organization
• Build complex batch and streaming pipelines to ingest data from upstream Equifax cloud systems
• Enable new GCP services and build self-service capabilities to enhance functionality of our data platform
• Act as a mentor to junior engineers within the Data Platform team and also the broader D&A organization
• Play an active role in setting engineering standards and best practices in EWS D&A

• Bachelor's degree in technology related field or equivalent experience
• At least 5 years of experience in data engineering, data architecture, or a related field
• Strong understanding of data engineering principles and best practices, including data modeling, data warehousing, and data integration
• At least 3 years of experience working in a GCP big data environment
• Experience building complex data pipelines and solutions using two or more of the following - BigQuery, DataFlow, DataProc, Pub/Sub, Cloud Functions
• Experience with Airflow or Cloud Composer
• Proficiency in Python development
• Professional experience with SQL
• Proven ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders

• GCP Professional Data Engineer or Professional Cloud Architect certification
• Experience programming in Java
• Experience scaling Airflow
• Experience with dbt
• DevOps / CICD experience (Jenkins and GitHub) and IaC experience using Terraform for managing GCP infrastructure

#LI-ES1