Job Summary
Lead the design and development of scalable overseas data warehouse and platform solutions, transforming raw data into actionable insights across mobile, IoT, and app domains. Collaborate with cross-functional teams and mentor engineers to drive data product innovation.
Responsibilities
- Lead the design, development, and continuous improvement of the company’s overseas data warehouse and data platform across mobile device, IoT, and app data domains
- Architect and implement scalable data processing systems and analytics applications to convert raw data into actionable insights
- Design and optimize batch and real-time data pipelines using technologies such as Spark and Flink to ensure high performance, scalability, and reliability
- Define and implement data warehouse architecture including ODS, DWD, DWS, and ADS layers, and enforce data governance practices covering data quality, lineage, and metadata management
- Drive the development of data products including dashboards, visualization systems, and dynamic reporting solutions to support business decision-making
- Collaborate with business, product, and analytics teams to translate complex requirements into scalable and maintainable data solutions
- Mentor junior engineers and promote best practices in data engineering and analytics to enhance team capabilities
Required competencies and certifications
- Bachelor’s degree or above in Computer Science, Data Engineering, or a related field
- Minimum 5 years of experience in data engineering or data platform development
- Strong expertise in big data technologies such as SQL, Spark, Flink, and the Hadoop ecosystem
- Proven experience in data modeling and designing large-scale data warehouses
- Proficient in data visualization tools and building data products like dashboards and reporting systems
- Solid understanding of processing both structured and unstructured data
- Excellent communication and stakeholder management skills
Preferred competencies and qualifications
- Experience working with global or overseas data environments
- Proficiency in Mandarin