About the Role

• Design, build and operate scalable batch and near-real-time data pipelines, models and reusable data products that support trusted analytics, reporting and approved AI use cases.
• Build and maintain data solutions across Microsoft Fabric, including Lakehouses, Warehouses, PySpark notebooks and Data Factory pipelines, transforming enterprise data into trusted datasets and semantic models.
• Engineer data quality into solutions through validation, profiling, reconciliation and monitoring, ensuring issues are identified and managed before they impact downstream users.
• Apply modern engineering practices including Git-based source control, automated testing, deployment automation, peer review, monitoring, alerting and production support to deliver reliable and maintainable solutions.

About the Role

• Design, build and operate scalable batch and near-real-time data pipelines, models and reusable data products that support trusted analytics, reporting and approved AI use cases.
• Build and maintain data solutions across Microsoft Fabric, including Lakehouses, Warehouses, PySpark notebooks and Data Factory pipelines, transforming enterprise data into trusted datasets and semantic models.
• Engineer data quality into solutions through validation, profiling, reconciliation and monitoring, ensuring issues are identified and managed before they impact downstream users.
• Apply modern engineering practices including Git-based source control, automated testing, deployment automation, peer review, monitoring, alerting and production support to deliver reliable and maintainable solutions.