We are looking for a skilled and detail-oriented Data Modelling & Testing Specialist to design robust data models and ensure high-quality data through effective testing and validation processes. The ideal candidate will have a strong background in Data Warehousing (DWH) , data modelling , and SQL , and will play a critical role in supporting data-driven initiatives across the organization. Key Responsibilities: Design, develop, and maintain conceptual, logical, and physical data models that align with business and technical requirements. Collaborate with Business Analysts, Data Engineers, and Developers to translate business needs into efficient data structures. Ensure the accuracy, integrity, and consistency of data through rigorous data validation and testing methodologies . Support and enhance ETL processes , working closely with the data integration team to ensure seamless data flow. Optimize SQL queries and data models for performance, scalability, and reliability. Participate in code reviews, data quality assessments, and continuous improvement initiatives. Document data structures, metadata, and data mapping specifications for future reference and governance. Technical Skills & Qualifications: Strong knowledge of Data Warehousing (DWH) architecture and data modelling principles (e.g., star schema, snowflake schema, normalization/denormalization). Advanced SQL skills for querying, data analysis, and performance tuning. Familiarity with ETL tools and data integration workflows (e.g., Informatica, Talend, SSIS, etc.) – preferred. Hands-on experience with data testing frameworks, test case design, and data quality validation techniques. Understanding of performance optimization techniques in data environments. Experience with data modelling tools such as Erwin, ER/Studio, or similar is a plus. Preferred Qualifications: Bachelor’s or master’s degree in computer science, Information Systems , Data Engineering , or a related field. Experience working in Agile or DevOps environments. Familiarity with cloud data platforms (e.g., Snowflake, Azure Data Lake, Google BigQuery) is advantageous. Strong analytical thinking and attention to detail. Join our data team and play a vital role in building the foundation for enterprise-wide data management and decision-making. If you're passionate about data quality, scalable design, and collaborative development, we invite you to apply.