Description
The Data Engineer will build and operate batch and streaming data pipelines supporting experimentation, fraud detection, recommendations, and personalization. The role focuses on Kafka, Spark on Databricks, Airflow, data modeling, pipeline quality, reliability, and on-call operations, while partnering with data scientists and backend engineers. It requires at least three years of data or software engineering experience, strong Python and PySpark, Kafka and stream processing, Databricks, SQL, and relational database skills, with Flink, ML feature stores, MLOps, Docker, Kubernetes, and SaaS experience preferred.
