Senior Data Engineer (Finance)

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

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