We are seeking an experienced Senior Data Engineer with expert-level skills in PySpark and hands‑on experience building ETL pipelines, data lake architectures, and data feed integrations on AWS to join our team. You will work with both structured and unstructured data, ingesting from multiple on‑premises and enterprise data sources such as SAP, Intelex, SQL, and OSI PI into AWS. This role offers the opportunity to contribute to large‑scale data solutions and collaborate with cross‑functional teams in a dynamic environment.

Responsibilities

• Design, develop, and optimize ETL pipelines using PySpark and AWS Glue Jobs to process large volumes of structured and unstructured data
• Orchestrate data workflows with Apache Airflow, ensuring reliable scheduling, dependency management, and robust error handling
• Build and maintain data feeds from on‑premises and enterprise systems into AWS data lake environments
• Integrate with enter...