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.
Extensive full life-cycle expertise (requirements → design → development → testing → deployment) in modern data warehousing, including ETL/ELT development, CI/CD automation, enterprise data integration, dimensional and relational data modelling, data domain architecture, data lake analytics, Apache Iceberg tables, Control‑M scheduling, and enterprise BI solutions.
Develop ELT pipelines from SaaS, ERP, CRM and finance systems into the Azure data platform (Azure Data Lake, Synapse/Databricks, PostgreSQL), following the Group's documented ingestion patterns.
Drive the implementation and optimization of centralized data repositories and data lake architectures, supporting enterprise-wide analytics and reporting.