【岗位职责】 Job Responsibilities 1. Data Lakehouse & Data Pipelines: Participate in the construction of Iceberg lakehouse and multi-source batch/stream pipelines to ensure stable, consistent and timely data delivery. 2. Data Modeling & Metrics: Build layered data models and standardized metrics covering users, transactions, traffic and commercial businesses via dbt. 3. Optimization & Efficiency Improvement: Optimize query performance and resource costs on Spark, Glue and ClickHouse. 4.AI-Driven Data Engineering: Develop intelligent capabilities including data quality diagnosis, anomaly root-cause analysis, data asset retrieval and natural language query over data assets. 你将参与 1、湖仓与管道：参与 Iceberg 湖仓与多源批/流链路建设，保障数据稳定、一致、及时； 2、建模与指标：用 dbt 沉淀分层模型与统一口径指标（用户/交易/流量/商业化）； 3、优化与提效：在 Spark / Glue / ClickHouse 上做查询与成本优化； 4、AI × 数据工程：探索质量诊断、异常定位、资产检索/问答等智能能力。 【任职要求】 Job Requirements 1.Graduating in 2026 or 2027; Bachelor’s degree or above, majoring in Computer Science, Software Engineering, Data Science, Statistics or related fields. 2.Solid programming skills: Proficient in at least one of Python, Java or Go; strong fundamentals in data structures and algorithms; standard engineering practices (logging, exception handling, unit testing). 3.Advanced SQL capability: In-depth understanding of database fundamentals, able to abstract business scenarios into rational data models. 4.Quick learner with strong execution: Capable of independently breaking down complex problems, troubleshooting efficiently, and summarizing experience for long-term iteration. Preferred Qualifications 1.Internship experience, competition awards or open-source contributions in data fields (e.g., ACM, Kaggle). 2.Hands-on experience with Iceberg, Spark, Trino, ClickHouse, dbt and related technologies. 3.Familiarity with growth analytics frameworks (funnel analysis, retention, attribution tools such as PostHog); experience building AI/LLM utilities or Data Copilot prototypes. 4.Practical experience with AWS S3 object storage and distributed computing engines. 我们希望你 1、2026～27 届，计算机/软件/数据/统计等相关专业，本科及以上。 2、编程扎实：精通 Python/Java/Go 之一，数据结构与算法基础好，有工程习惯（日志/异常/测试）； 3、SQL 硬：理解数据库原理，能把问题抽象成数据模型； 4、学得快、能扛事：主动拆解问题、快速定位、乐于复盘沉淀。 加分项 1、数据方向实习 / 竞赛 / 开源经验（ACM、Kaggle 等）； 2、用过 Iceberg / Spark / Trino / ClickHouse / dbt 等； 3、懂增长分析（漏斗/留存/归因，如 PostHog）或做过 AI/LLM 小工具、「数据 Copilot」原型； 4、AWS / S3 类存储 + 计算引擎经验