Description
The posting describes a Data Engineer responsible for designing, developing, maintaining, and troubleshooting scalable data pipelines and systems. The role involves collaborating with data scientists, analysts, and cross-functional teams; implementing data integration and transformation with PySpark and Python; optimizing SQL databases and queries; and ensuring data quality, integrity, availability, and performance. A bachelor's degree and at least three years of data engineering experience are required, while Azure Databricks is a plus.
