岗位描述

Salary Range: 25-45K/month Job Responsibilities: 1. Lead the construction and design of a unified real-time data warehouse for internal and external systems (including influencer platforms and external SaaS platforms), providing a uniform data service. Through systematic analysis and abstraction, develop generic platform capabilities or services, ensuring data quality and visibility to business users. 2. Design and develop full-stack big data solutions and data governance services. 3. Optimize existing data systems and reporting frameworks through data governance initiatives such as script optimization, storage optimization, and architectural improvements, reducing storage space requirements and improving data response times and computing resource utilization. 4. Proactively engage in deep thinking about data platform infrastructure and content development, contributing to organizational and system improvements by making constructive suggestions. Requirements: 1. *Must be a resident of Hong Kong.* 2. *Must hold a degree from a local Hong Kong university or a degree jointly awarded with a local Hong Kong university, or a degree from a STEM-related discipline (including technology fields) from a university ranked in the top 100 globally.* 3. Bachelor’s/Master’s degree in Computer Science, Telecommunications, or related field with 5+ years of experience in big data development. 4. Proficient in one or more mainstream programming languages such as C/C++, Java, Python, etc., with strong coding skills. 5. Strong foundation in data structures, algorithms, and programming practices. 6. Expertise in SQL operations and experience with one or more relational databases such as MySQL, Oracle, SQL Server. 7. Proficient in using Hadoop, HBase, Spark, Hive, Storm, Flink, Doris, ClickHouse, ElasticSearch, including reading parts of their source code and performing performance tuning. 8. High level of responsibility, excellent communication skills, and a collaborative team spirit. 9. Preference given to candidates with experience in building real-time data warehouses.