Job description

The Senior Data Quality Engineer at Salla, a leading e-commerce platform, is responsible for ensuring the accuracy, consistency, and reliability of organizational data pipelines within a hybrid work environment based in Madinah, Saudi Arabia. The role involves defining and implementing data quality frameworks, establishing and monitoring data quality KPIs such as completeness, accuracy, timeliness, and consistency, and driving continuous improvement initiatives across data systems. The position requires hands-on expertise in SQL, ETL tools, data pipelines, and relational databases, along with programming capabilities in Python or R for data validation and automation. Core activities include data profiling, data validation, and data cleansing across multiple systems, writing SQL/ETL tests to detect issues early, building data validation pipelines, implementing real-time data flow validation, and automating data cleansing and standardization processes. The engineer is expected to design and maintain data monitoring pipelines, create data quality metrics and dashboards, and set up anomaly detection alerts. Additionally, the role includes leading root cause analysis and corrective action planning for recurring data issues, ensuring adherence to best practices in data quality assurance, and staying updated with emerging industry trends. The position requires collaboration with data engineers, analysts, and business stakeholders to troubleshoot issues, enhance data processes, and ensure alignment with business objectives. A solid understanding of data modeling, metadata management, and master data concepts is essential, along with experience in data quality tools and automated QA/data validation pipeline design.