Data Engineer: Lakehouse & Real-Time Data Platform
Summary
Builds and maintains AWS-based lakehouse and real-time data pipelines using Debezium, Kafka, PySpark and SQL to deliver trusted datasets for business users.
payabl. is seeking a Data Engineer to join the Data Team, focusing on building scalable lakehouse architectures on AWS, streaming ingestion with Debezium and Kafka, and reliable data products for business users.
You will work with analysts and engineers to deliver trusted datasets and reusable models. The role requires 3+ years in data engineering, strong SQL, Python, PySpark, and hands-on AWS data services.