Description
The Data Engineer will support and enhance a modern data platform using Databricks, DBT, Snowflake, Amazon Aurora, and AWS. Responsibilities include building and troubleshooting Databricks pipelines, developing DBT models, supporting data enrichment and validation, tuning Snowflake performance, investigating pipeline failures, coordinating CDC flows, and documenting data flows. The role requires at least five years of data engineering experience, strong SQL and Python skills, hands-on experience with the listed data platforms, AWS data services, and production release discipline.
