Senior Data Engineer

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 you need 

At least 7 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

Bachelor's degree or higher in Computer Science, Information Systems, or a related field

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