Description
The Senior Associate Data Engineer will develop and modernize the Consumer and Community Banking Risk Feature Engineering Platform, building scalable batch and real-time feature pipelines on Databricks and AWS. The role covers feature store lifecycle management, Spark and PySpark pipelines, data quality, governance, lineage, security, cloud infrastructure, and platform modernization, while collaborating with data scientists, model developers, business stakeholders, and engineering teams. The position requires formal training or certification in a relevant discipline, at least three years of applied industry experience, and hands-on experience with Databricks, Spark, Python, SQL, AWS, and data engineering practices.
