灵犀互娱灵犀互娱-大数据开发工程师-搜索引擎&推荐系统
社招全职3年以上地点:广州状态:招聘
任职要求
任职要求: 1、计算机、数学、统计等相关专业本科及以上学历,扎实的计算机基础与良好的算法/数据结构能力; 2、精通 Java 编程,熟练掌握JDK 集合、并发、IO、JVM 调优等,熟悉 Spring Boot / Spring MVC/MyBatis 等主流框架,能独立进行分层架构设计与编码; 3、熟悉 Hadoop / Hive / Spark/ Flink 等大数据生态组件中的一种或多种,掌握分布式计算框架的使用与性能调优; 4、精通 SQ…
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工作职责
1、基于阿里云大数据计算平台,对海量游戏及相关业务数据进行采集、处理、建模与分析,支撑搜索、推荐、用户运营、精准投放等业务需求; 2、参与用户画像、搜索引擎、个性化推荐等系统的架构设计与开发,实现高性能、可扩展的数据服务平台; 3、负责服务端Java 应用的架构与开发,完成接口服务、业务逻辑、数据访问层实现,保证系统的安全性、稳定性与和可扩展性; 4、对业务需求进行分析、与产品团队沟通确认,完成技术方案设计、风险评估及落地实施; 5、持续关注行业技术动态和前沿技术,在大数据计算、搜索与推荐、Al应用等领域不断探索与落地。
包括英文材料
学历+
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
JVM+
https://www.freecodecamp.org/news/jvm-tutorial-java-virtual-machine-architecture-explained-for-beginners/
https://www.youtube.com/watch?v=e2zmmkc5xI0
Spring Boot+
https://spring.io/guides/gs/spring-boot
his guide provides a sampling of how Spring Boot helps you accelerate application development.
https://www.youtube.com/watch?v=Nv2DERaMx-4&list=PLzUMQwCOrQTksiYqoumAQxuhPNa3HqasL
The author teaches you how to use Spring Boot from a complete beginner, to building a REST API with a real database, Dockerising it and deploying it to the cloud.
Spring Web MVC+
https://spring.io/guides/gs/serving-web-content
This guide walks you through the process of creating a “Hello, World” web site with Spring.
[英文] Spring MVC Series
https://www.baeldung.com/spring-mvc
Spring MVC provides tools driving both typical web applications as well as REST APIs.
MyBatis+
https://mybatis.org/mybatis-3/getting-started.html
https://www.baeldung.com/mybatis
MyBatis is an open source persistence framework which simplifies the implementation of database access in Java applications.
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
Hadoop+
https://www.runoob.com/w3cnote/hadoop-tutorial.html
Hadoop 为庞大的计算机集群提供可靠的、可伸缩的应用层计算和存储支持,它允许使用简单的编程模型跨计算机群集分布式处理大型数据集,并且支持在单台计算机到几千台计算机之间进行扩展。
[英文] Hadoop Tutorial
https://www.tutorialspoint.com/hadoop/index.htm
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.
Hive+
[英文] Hive Tutorial
https://www.tutorialspoint.com/hive/index.htm
Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy.
https://www.youtube.com/watch?v=D4HqQ8-Ja9Y
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
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相关职位
社招2年以上技术开发类
1、负责公司游戏业务数据分析产品的底层大数据架构和开发,并基于大数据对业务提供深入有效的支持; 2、负责游戏业务数据的清洗、计算和存储。海量数据离线分析和实时分析系统的开发和维护; 3、满足业务方的数据需求,提供面向业务的OLAP、报表、数据提取等不同维度的数据服务; 4、基于Hadoop/Hive/Hbase进行数据的离线计算; 5、参与调研前沿技术。
苏州
社招3-5年
1. 大数据架构与数仓设计:负责时空大数据平台的架构设计与核心模块开发。主导高性能分布式数仓(Data Warehouse)的模型设计、ETL开发及任务调优。 2. 数据流水线开发:使用 Spark / PySpark(或 Scala)进行海量位置数据、轨迹数据及复杂地址数据的清洗、聚合与空间计算,确保数据管线的高可用与高性能。 3. 技术保障与运维:深度参与 Hadoop、Hive、HBase 组成的计算与存储集群的日常开发与调试,负责线上高并发/海量数据场景下的性能瓶颈分析与疑难问题排查。 4. 数据治理与标准落地:精通传统及非大数据环境下的数据治理技术。针对多源、异构的地址与空间数据,进行质量监控、数据标准化及血缘图谱建设。 5. 跨团队协作:与地图产品经理、空间算法科学家深度协同,将前沿的 AI/时空算法模型转化为工业级的大数据工程落地,共同攻坚业务难题。
更新于 2026-07-02武汉
