Description
The Data Engineer will design, develop, optimize, and maintain scalable data pipelines and workflows supporting enterprise reporting, analytics, and business decision-making. The role focuses on ETL/ELT development, data quality, data modeling, Azure and Databricks implementation, monitoring, troubleshooting, and process improvement within an Agile delivery model, with particular relevance to insurance-domain use cases. Candidates need 3–6 years of data engineering experience, a bachelor’s degree in a relevant field, and strong skills in PySpark, Python, SQL, Azure cloud components, Delta Lake, and related technologies.
