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
What experience do you need
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
What could set you apart
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
