理想汽车【智能工业】资深大数据技术专家
社招全职8年以上智能与信息技术地点：北京状态：招聘
任职要求
1. 教育背景：计算机科学，数学，统计学或相关专业本科及以上学历； 2. 工作经验： - 具有8年以上大数据领域工作经验，其中3年以上数据湖/湖仓一体架构设计与实施经验； - 有丰富的数据治理项目经验，熟悉数据治理流程与方法，有自己的数据治理方法论； - 具备2年以上团队管理经验优先，有成功带领团队从0到1完成大数据项目的经历优先，具备优秀的团队管理能力、业务理解与沟通能力； 3. 技术能力： - 精通Hadoop/Spark/Flink其中任意一种， 深入理解架构和实现原理； - 深入理解开放表格式，精通Delta lake/Iceberg/Hudi/Paimon其中任意一种； - 精通数仓建模方法，如星型模型，宽表模型等，能够根据业务需求设计高效的数仓架构； - 熟悉至少一种主流湖仓一体平台(如Databricks等)的使用与优化，包括平台的部署，配置，监控和调优等操作； - 熟悉报表工具(如PowerBI等)的使用，能够独立设计和开发交互式的数据产品； - 掌握数据分析工具(如Python)和相关的数据分析库(如Pandas)，能够进行数据探索，数据挖掘和机器学习建模； - 了解常见的机器学习算法，如分类算法等，能够运用这些算法解决实际业务问题。
工作职责
1. 数据资产体系设计与搭建: 结合部门业务特点，负责设计并指导团队构建高效的数据资产体系； 2. 数据治理体系建设: 制定和完善数据治理策略，流程与规范，推动数据治理工作落地，提升数据资产价值，为业务提供可靠的数据支持； 3. 数据应用支持: 与算法团队紧密合作，深入了解数据应用需求，提供技术方案与实现路径； 4. 团队技术指导与协作: 作为技术专家，为团队成员提供技术指导与培训，提升团队整体技术水平，参与团队技术规划与决策，解决技术难题，确保项目顺利推进。
包括英文材料
学历+
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
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.
数据治理+
https://www.ibm.com/think/topics/data-governance
Data governance is the data management discipline that focuses on the quality, security and availability of an organization’s data.
https://www.youtube.com/watch?v=uPsUjKLHLAg
Building data fabric eliminates the technological complexities of data governance so users can connect to the right data at the right time, regardless of where it resides.
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.
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.
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.
Delta Lake+
https://delta.io/learn/getting-started/
This guide helps you quickly explore the main features of Delta Lake.
[英文] Delta Lake Tutorials
https://delta.io/learn/tutorials/
Try out the latest tutorials for the open-source Delta Lake project.
[英文] Tutorial: Delta Lake
https://docs.databricks.com/aws/en/delta/tutorial
This tutorial introduces common Delta Lake operations on Databricks.
https://www.youtube.com/watch?v=fkWxiesfrgk
In this Delta Lake course, we will go though all the important concepts of Delta Lake.
Iceberg+
https://iceberg.apache.org/spark-quickstart/
This guide will get you up and running with Apache Iceberg™ using Apache Spark™, including sample code to highlight some powerful features.
https://www.baeldung.com/apache-iceberg-intro
This tutorial will discuss Apache Iceberg, a popular open table format in today’s big data landscape.
https://www.youtube.com/watch?v=TsmhRZElPvM
You’ve probably heard about Apache Iceberg™—after all, it’s been getting a lot of buzz.
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!
Power BI+
[英文] Power BI Tutorial
https://www.tutorialspoint.com/power_bi/index.htm
Power BI is a Data Visualization and Business Intelligence tool that converts data from different data sources to interactive dashboards and BI reports.
https://www.youtube.com/watch?v=FwjaHCVNBWA
数据分析+
[英文] Data Analyst Roadmap
https://roadmap.sh/data-analyst
Step by step guide to becoming an Data Analyst in 2025
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.
Pandas+
[英文] 10 minutes to pandas
https://pandas.pydata.org/docs/user_guide/10min.html
This is a short introduction to pandas, geared mainly for new users.
[英文] Cookbook - pandas
https://pandas.pydata.org/docs/user_guide/cookbook.html#cookbook
This is a repository for short and sweet examples and links for useful pandas recipes.
https://www.kaggle.com/learn/pandas
Solve short hands-on challenges to perfect your data manipulation skills.
https://www.youtube.com/watch?v=2uvysYbKdjM
I'm super excited for this one. We're doing another complete Python Pandas tutorial walkthrough.
https://www.youtube.com/watch?v=Mdq1WWSdUtw
Filtering, Joins, Indexing, Data Cleaning, Visualizations
数据挖掘+
https://www.youtube.com/watch?v=-bSkREem8dM
Database vs Data Warehouse vs Data Lake
https://www.youtube.com/watch?v=7rs0i-9nOjo
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
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/
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