Data Engineer, Marketplace Intelligence & Data (2027 Graduate)
Job Description
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.
Requirements:
- 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.
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About Company
Skills:
Algorithms, Sql, Java, Python, Spark, data structures, Llm, diffusion, Ray, trajectory, Flink, multi-turn interaction, Memory, large models, Agents Tool Use, CLIP, T2V, VLM, multimodal AIGC