Data Engineer - Shenzhen

Job Description Design, develop, maintain, and optimize scalable data pipelines and integration workflows across CASETiFY’s core business systems and data platforms. Build and support data ingestion, transformation, validation, and delivery processes for structured and semi-structured data from multiple source systems. Work closely with BI, analytics, and business stakeholders to understand reporting and analytical needs and translate them into reliable data engineering solutions. Develop and maintain curated datasets, data models, data marts, and reusable data assets to support business intelligence, operational reporting, self-service analytics, and management dashboards. Support data integration across key systems such as eCommerce platforms, ERP, OMS, WMS, CRM, marketing systems, finance systems, customer operations platforms, and other enterprise applications. Ensure data pipelines and datasets are accurate, complete, timely, and well governed through strong engineering practices, validation controls, monitoring, and reconciliation mechanisms. Collaborate with product, engineering, and platform teams to ensure data solutions are scalable, secure, maintainable, and aligned with enterprise architecture and business priorities. Support the implementation of data quality standards, metadata management, lineage, documentation, and data governance practices. Monitor and troubleshoot pipeline failures, data issues, and performance bottlenecks, and drive timely resolution and continuous improvement. Improve engineering efficiency through automation, standardization, reusable frameworks, and best practices in data development and deployment. Support the enablement of AI, machine learning, and advanced analytics use cases by preparing high-quality and sustainable data foundations Participate in data platform enhancement, architecture discussions, release activities, and cross-functional delivery planning while maintaining clear technical documentation and operational pro