The Data Success Engineer will partner with stakeholders to translate business needs into reliable data products and technical specifications. They are responsible for building and improving data pipelines while ensuring data quality and documenting transformation logic.
Design, build, and maintain robust end-to-end data pipelines within an enterprise Lakehouse environment using Databricks and AWS. Apply data science and analytics skills to transform raw data into actionable business insights while ensuring data security and compliance.
Design, develop, and optimize scalable data pipelines, models, and analytics-ready datasets using SQL and Databricks. Collaborate with cross-functional teams to integrate diverse data sources and ensure high-performing, secure data solutions.
