Data Engineer, Marketplace Intelligence & Data
Summary
Build and optimize Shopee’s e-commerce data warehouse and real-time analytics systems, integrating massive datasets and applying AI/stream-processing to power product recommendations and business insights.
About The Team Shopee will be prioritizing applicants who have a current right to work in Singapore , and do not require Shopee sponsorship of a visa . Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied. The Marketplace Intelligence and Data team's mission is to build sustainable and efficient data and intelligence products to facilitate Shopee's business development. The team is responsible for Shopee e-commerce data warehouse construction, merchant and operation data product construction, all-link traffic data, product algorithms, including product release, control, information optimization, SPU library and its comparison business, marketing algorithms, including Merchandising, Product Selection, Recommendation Algorithm, Evaluation Algorithms, User Profiling, and in addition, basic AI capabilities, such as Machine Translation, Speech Algorithm, Image Algorithm, and Real-person Authentication. The data team aims to build high-quality offline and real-time data warehouses for Shopee's e-commerce business. We integrate and consolidate a variety of raw data, build consistent and common basic data models, and provide efficient data marts for different data application scenarios. We are a data solution provider, providing stable, reliable and efficient data services for each data user in the company. Job Description
- Build data warehouses, real-time computing systems, and statistical analytics solutions for massive volumes of business data. Responsibilities include clarifying data logic, developing data tools, and optimizing workflows.
- Participate in business performance analysis and provide data-driven insights and analytical methodologies to support product iteration.
- Contribute to the development of big data service platforms, providing data services for online business scenarios such as querying, estimation, computation, and configuration.
- Apply technologies such as stream processing and OLAP engines to modernize traditional business processes, improve the efficiency of data processing and utilization, and empower the business with deeper data insights.
- Explore the application of AI technologies—including large language models (LLMs), agents, and retrieval-augmented generation (RAG)—in the data domain. Promote AI-driven data development and governance practices to enhance the intelligence and automation of data management.
- Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field.
- Strong foundation in data structures, algorithms, operating systems, computer networks, databases, and other core computer science concepts.
- Proficiency in at least one programming language, such as Java, Python, Go, C, or C++.
- Strong SQL development and performance optimization skills, with familiarity with relational databases such as MySQL and PostgreSQL.
- Familiarity with one or more big data ecosystem technologies, such as Hadoop, Hive, Spark, Flink, Kafka, HBase, ClickHouse, or Elasticsearch.
- Experience in data warehouse development, data analysis, or machine learning is preferred.
- Strong engineering skills and problem-solving abilities, with the capability to independently analyze and resolve complex data-related challenges.
- A strong interest in AI technologies and data intelligence, along with a commitment to continuous learning.