
喜马拉雅2025校招-数据开发
校招全职地点:上海状态:招聘
任职要求
1. 2025届应届毕业生,全日制统招本科及以上学历,计算机科学、软件工程、数据科学或相关专业背景。 2. 具备扎实的数据库和数据仓库知识,熟悉数仓建模和数据架构设计。 3. 精通SQL编程和至少一门主流编程语言(如Python、Java等)。 4. 对大数据处理技术(如Hadoop、Flink、Spark、clickhouse、hudi等)有基本了解,并有相关项目经验者优先考虑。 5. 具备良好的沟通表达能力、团队协作能力和解决问题的能力,能在快节奏的工作环境中高效工作。6. 积极主动,有很强的求知欲和学习能力,具备极客精神。
工作职责
1. 深刻理解业务,根据业务场景从通用、易用等方面设计主题清晰、结构优雅的数仓模型。 2. 运用开源和自研大数据开发平台和组件承担离线和实时场景的数据开发,性能优化等工作。 3. 探索新的数据工具和技术,持续提升数仓工作的效率。 4. 保障数据链路的稳定和质量,为公司经营决策和日常运营提供准确可靠的数据支撑
包括英文材料
学历+
数据科学+
https://roadmap.sh/ai-data-scientist
Step by step roadmap guide to becoming an AI and Data Scientist
数据仓库+
https://www.youtube.com/watch?v=9GVqKuTVANE
From Zero to Data Warehouse Hero: A Full SQL Project Walkthrough and Real Industry Experience!
https://www.youtube.com/watch?v=k4tK2ttdSDg
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.
SQL+
https://liaoxuefeng.com/books/sql/introduction/index.html
什么是SQL?简单地说,SQL就是访问和处理关系数据库的计算机标准语言。
https://sqlbolt.com/
Learn SQL with simple, interactive exercises.
https://www.youtube.com/watch?v=p3qvj9hO_Bo
In this video we will cover everything you need to know about SQL in only 60 minutes.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
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.
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.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
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.
ClickHouse+
[英文] Advanced Tutorial
https://clickhouse.com/docs/tutorial
Learn how to ingest and query data in ClickHouse using the New York City taxi example dataset.
https://www.youtube.com/watch?v=FtoWGT7kS-c
ClickHouse is an open-source column-oriented DBMS for online analytical processing that allows users to generate analytical reports using SQL queries in real-time.
https://www.youtube.com/watch?v=Rhe-kUyrFUE&list=PL0Z2YDlm0b3gcY5R_MUo4fT5bPqUQ66ep
Hudi+
[英文] Spark Quick Start
https://hudi.apache.org/docs/quick-start-guide
we will walk through code snippets that allows you to insert, update, delete and query a Hudi table.
https://www.oreilly.com/library/view/apache-hudi-the/9781098173821/
Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi.
https://www.youtube.com/watch?v=pyK18sDYnS0
In this video, I'll introduce you to one of the most popular Data Lake solutions out there, Apache Hudi!
相关职位
校招机器学习平台
模型压缩方向: 1、探索研发针对大语言模型、多模态大模型、StableDiffusion模型等模型的压缩技术,包括但不限于量化、蒸馏、剪枝、稀疏化等; 2、参与/负责多个业务场景中的模型压缩技术实现,对模型进行轻量化压缩,提高训练/推理效率,支持业务降本增效。 推理框架方向: 1、参与/负责研发面向CV/NLP/多模态/大语言模型等类型模型的推理服务框架; 2、通过并行计算优化、分布式架构优化、异构调度等多种框架技术,打造高效、易用、领先的AI推理框架。 高性能计算方向: 1、参与/负责AI推理/训练框架的底层性能优化工作,包括但不限于高性能算子、通信库开发与优化等工作; 2、参与/负责大模型计算引擎的研发工作,通过多种方式实现训推性能SOTA; 3、参与/负责前沿AI编译加速等技术的探索和业务落地。 模型训练方向: 1、负责调度公司所有模型训练与推理资源; 2、基于自建的训推引擎,构建公司统一的机器学习平台,为公司所有算法同学(稀疏 & 稠密,含 LLM) 模型迭代提供端到端的一站式服务;包括 数据生产,模型训练,模型上线,特征管理,模型测试,资源管控等一系列能力。