As a Data Engineer at Equifax, you will be responsible for developing and maintaining the scalable data pipelines that power our business. You will use Azure Databricks, PySpark, and Azure Data Factory to transform raw data into actionable insights.
Requirements
- 3-6 years of hands-on experience in data engineering, ETL development, or backend software engineering with a data focus
- 4+ years of experience working within the Azure cloud environment
- 4+ years of experience building data transformation logic using Databricks and Spark
- 3+ years of strong SQL skills
- Proven experience building multi-stage pipelines in Azure Data Factory or similar tools
Benefits
- Comprehensive compensation package
- Healthcare package
- Paid time off
- Organizational growth potential through online learning platform