Description
The Senior Data Engineer will develop and operationalize real-time data ingestion and processing systems, large-scale enterprise data solutions, and production data pipelines using PySpark, Python, Airflow, SQL, and cloud platforms. The role owns the full lifecycle of solution implementation, translates business challenges into scalable technical solutions, and collaborates with a data engineering team. Requirements include a bachelor's degree in a relevant discipline, 3–8 years of data engineering or related experience, and expertise in ETL, PySpark, SQL, databases, version control, and AWS technologies.
