The Data Warehouse Developer is responsible for designing, building, and maintaining the company’s data warehouse and data integration processes. The role focuses on developing data models, creating ETL pipelines, and ensuring high-quality, reliable data to support reporting, analytics, and business decision-making. The role will support both existing SAS-based environments and future Microsoft/Azure data platforms, across on-premise and cloud systems.Key ResponsibilitiesDesign and develop data warehouse models and structures based on business requirementsDesign, build, and maintain ETL/ELT processes (Extract, Transform, Load) from multiple source systemsIdentify, analyze, and document data sources, data flows, and business requirementsDevelop and optimize data integration between SAS platforms and Microsoft data platforms (e.g., Azure, Microsoft Fabric, SQL Server)Support the modernization of data and analytics systems (on-prem to cloud, legacy to modern platforms)Ensure data quality, consistency, and basic master data management controlsWork closely with business users, analysts, and IT teams to support reporting and analytics needsProvide technical support and troubleshooting related to data warehouse and ETL processesPrepare and present technical documentation and design explanations clearly to both technical and non-technical stakeholdersQualifications & ExperienceAt least 2 years of relevant experience in data warehousing, ETL development, or data integrationFor Senior level: at least 3–5 years of relevant experience in data warehouse and ETL developmentStrong understanding of: Data warehouse concepts and data modeling, ETL processes and data pipelines, Relational databases and SQLAbility to explain technical concepts clearly to small and large groupsAnalytical, detail-oriented, flexible, and able to work with changing requirementsGood interpersonal and communication skillsWilling to work onsite five (5) days a week in Malate, ManilaAmenable to a project-based employment arrangementTools & Technologies (Preferred / Advantage)SAS Platform / SAS Products (current environment and data sources)Microsoft ecosystem (any of the following):Microsoft AzureMicrosoft FabricSQL Server / MS SQLAzure Data Factory / Synapse / related ETL toolsExperience working in both on-premise and cloud environmentsExperience integrating SAS systems with Microsoft platforms is a strong advantage