DE&A - Core - Data Engineering - Data Engineering (Other)

Senior Data Engineer to drive development of a scalable, enterprise-wide data platform supporting batch and real-time data processing. Role focuses on building a modern data ecosystem using Snowflake, DBT, AWS Glue, and Amazon Kinesis to deliver governed, high-quality data for enterprise consumption. Core responsibilities include architecting and implementing medallion architecture on Snowflake and DBT; building batch ingestion pipelines with AWS Glue and real-time streaming with Kinesis; designing scalable data models; leading pipeline optimization for performance, scalability, and cost; ensuring data quality and governance; supporting report rationalization; collaborating with cross-functional teams to translate business requirements into robust data engineering solutions. Core skills include Snowflake, DBT, AWS Glue, Kinesis, advanced SQL, data modelling, Python/Scala, and experience with Raw/Silver/Gold architectures; insurance domain experience preferred. The role involves working on hybrid real-time and batch architectures at scale.