Architect and scale the end-to-end cloud data platform: source ingestion, transformation, warehouse, and the monitoring and quality layers that keep it trustworthy
Design, implement, and maintain scalable data pipelines using the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake.
Perform ETL (Extract, Transform, Load) processes on large and complex transaction datasets to support business reporting, modelling, and analytical needs.
Design, build and enhance enterprise data platforms, including Data Lakes, Data Warehouses, data pipelines and analytics solutions that power business decisions across the organisation.
Lead the design and development of the Enterprise Data Warehouse, ETL pipelines and analytics solutions using SAS (Base SAS, SAS DI Studio, SAS Macro) and SQL.
Lead the architecture, design, and implementation of enterprise solutions involving Data Analytics, Data Warehousing, Data Lakes, and Big Data technologies.