Description
The Data Engineer will design, build, and maintain end-to-end data pipelines for ingestion, transformation, and delivery of large-scale data. The role focuses on PySpark and Databricks, ETL/ELT processes, lakehouse architectures, data quality, performance optimization, CI/CD, version control, orchestration, and collaboration with data architects, analysts, and business stakeholders. It requires a BS in a related technical field or equivalent practical experience, at least 4 years of Data Engineering experience, strong Python and SQL skills, and familiarity with cloud platforms and orchestration tools.
