Job Description
Description
Team is responsible for building and maintaining the enterprise data pipelines, data models, and reporting assets that support the marketing organization. In FY26, these engineers will support both Top 40 strategic initiatives and KTLO (Keep the Lights On) operations within the Marketing data domain. Work includes developing new data pipelines, integrating data from enterprise systems into the Enterprise Data Warehouse (BigQuery), enhancing data models and semantic layers used by marketing analytics tools, and enabling new capabilities tied to initiatives. KTLO responsibilities include maintaining and optimizing existing ETL/ELT pipelines, ensuring daily data loads meet SLA requirements, resolving data quality issues, and implementing enhancements to existing Marketing reporting solutions.
Engineers will work heavily with SQL, BigQuery, data pipeline orchestration, and enterprise data models, collaborating closely with Marketing partners, product teams, and other EDW...
Team is responsible for building and maintaining the enterprise data pipelines, data models, and reporting assets that support the marketing organization. In FY26, these engineers will support both Top 40 strategic initiatives and KTLO (Keep the Lights On) operations within the Marketing data domain. Work includes developing new data pipelines, integrating data from enterprise systems into the Enterprise Data Warehouse (BigQuery), enhancing data models and semantic layers used by marketing analytics tools, and enabling new capabilities tied to initiatives. KTLO responsibilities include maintaining and optimizing existing ETL/ELT pipelines, ensuring daily data loads meet SLA requirements, resolving data quality issues, and implementing enhancements to existing Marketing reporting solutions.
Engineers will work heavily with SQL, BigQuery, data pipeline orchestration, and enterprise data models, collaborating closely with Marketing partners, product teams, and other EDW...
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