长鑫存储大数据开发工程师 | Big Data Development Engineer(J12061)
社招全职5年以上信息技术类地点：合肥状态：招聘
任职要求
1. 全日制本科及其以上且至少5年以上软件开发经验。 2. 对Java或Python 等语言具有较为丰富的开发经验，熟悉设计模式和微服务架构、Restful API数据服务等。 3. 熟悉MySQL/Postgresql/Oceanbase等数据库一种或多种，从而能进行良好的数据模型设计并进行较高质量的代码开发（例如良好的SQL，良好的Java/Python代码等），从而完成数据的加工处理和实现数据服务API等。 4. 熟悉采用流计算引擎（例如Flink）和消息中间件（例如Kafka）进行较高质量的代码开发，完成近实时数据加工处理。 5. 熟悉StarRocks/Doris/Hologres/Clickhouse 等数据库一种或多种尤佳。 6. 熟悉Neo4j、ES、Influxdb等数据库一种或多种尤佳。
工作职责
1. 基于数据产品经理&产品经理输出的需求（主要是PRD 、原型等）进行相应的设计和开发工作，为效率和质量负责。 2. 对初中级开发工程师进行技术开发指导，促进他们的成长。
包括英文材料
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.
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.
设计模式+
https://liaoxuefeng.com/books/java/design-patterns/index.html
设计模式，即Design Patterns，是指在软件设计中，被反复使用的一种代码设计经验。使用设计模式的目的是为了可重用代码，提高代码的可扩展性和可维护性。
[英文] Design Patterns
https://refactoring.guru/design-patterns
Design patterns are typical solutions to common problems in software design. Each pattern is like a blueprint that you can customize to solve a particular design problem in your code.
https://www.youtube.com/watch?v=NU_1StN5Tkk
Design Patterns tutorial explained in simple words using real-world examples.
微服务+
https://learn.microsoft.com/en-us/training/modules/dotnet-microservices/
Microservice applications are composed of small, independently versioned, and scalable customer-focused services that communicate with each other by using standard protocols and well-defined interfaces.
https://microservices.io/
Microservices - also known as the microservice architecture - is an architectural style that structures an application as a collection of two or more services.
https://spring.io/microservices
Building small, self-contained, ready to run applications can bring great flexibility and added resilience to your code.
https://www.ibm.com/think/topics/microservices
Microservices, or microservices architecture, is a cloud-native architectural approach in which a single application is composed of many loosely coupled and independently deployable smaller components or services.
https://www.youtube.com/watch?v=CqCDOosvZIk
https://www.youtube.com/watch?v=hmkF77F9TLw
Learn about software system design and microservices.
REST+
https://roadmap.sh/golang/rest-api
Building a REST API in Go offers a blend of high performance, ease of deployment, and scalability.
https://spring.io/guides/gs/rest-service
This guide walks you through the process of creating a “Hello, World” RESTful web service with Spring.
https://www.restapitutorial.com/
REST (Representational State Transfer) APIs have revolutionized the way developers build and integrate web services, enabling seamless communication between systems and applications.
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.
MySQL+
https://juejin.cn/post/7190306988939542585
这是一篇 MySQL 通关一篇过硬核经验学习路线，包括数据库相关知识，SQL语句的使用，数据库约束，设计等。
[英文] MySQL Tutorial
https://www.mysqltutorial.org/
your go-to resource for mastering MySQL in a fast, easy, and enjoyable way.
https://www.youtube.com/watch?v=5OdVJbNCSso
MySQL SQL tutorial for beginners
https://www.youtube.com/watch?v=7S_tz1z_5bA
This beginner-friendly course teaches you SQL from scratch.
PostgreSQL+
[英文] PostgreSQL Tutorial
https://neon.com/postgresql/tutorial
This PostgreSQL tutorial helps you quickly understand PostgreSQL.
[英文] PostgreSQL Tutorial
https://www.pgtutorial.com/
This PostgreSQL tutorial will teach you about PostgreSQL from beginner to advanced.
https://www.youtube.com/watch?v=qw--VYLpxG4
It is the most advanced open source database system widely used to build back-end systems.
https://www.youtube.com/watch?v=SpfIwlAYaKk
Learn PostgreSQL, one of the world's most advanced and robust open-source relational database systems.
OceanBase+
https://en.oceanbase.com/docs/common-oceanbase-database-10000000001028975
This topic describes how to deploy OceanBase Database in a demo environment, a cluster, or a container for quick hands-on experience.
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.
中间件+
https://www.youtube.com/watch?v=1oWPUpMheGk
Kafka+
https://developer.confluent.io/what-is-apache-kafka/
https://www.youtube.com/watch?v=CU44hKLMg7k
https://www.youtube.com/watch?v=j4bqyAMMb7o&list=PLa7VYi0yPIH0KbnJQcMv5N9iW8HkZHztH
In this Apache Kafka fundamentals course, we introduce you to the basic Apache Kafka elements and APIs, as well as the broader Kafka ecosystem.
StarRocks+
https://docs.starrocks.io/docs/quick_start/
These Quick Start guides will help you get going with a small StarRocks environment.
https://itnext.io/introduction-to-starrocks-a-new-modern-analytical-database-1db2177d26e1
Recently, I had the opportunity to explore StarRocks which is the new kid in the block when talking about massive scale databases which are able to handle petabytes of data.
Doris+
https://doris.apache.org/docs/gettingStarted/what-is-apache-doris
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
Neo4j+
https://graphacademy.neo4j.com/
We're here to guide you on a fun and engaging journey to mastering Neo4j with free, hands-on courses.
ElasticSearch+
https://www.youtube.com/watch?v=a4HBKEda_F8
Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.
InfluxDB+
https://docs.influxdata.com/influxdb/v2/get-started/
collect, store, process and visualize time series data.
https://www.youtube.com/watch?v=XloH_0G2IzA
This is short video going over getting started with InfluxDB.
相关职位
社招3年以上研发技术类
深入业务视角，以多模态大数据建模及计算物理仿真为基础，借助AI赋能，帮助半导体工程/工艺/元件特性先行预测与优化，提升工程/工艺/元件研发效率。 工作职责： 1.基于半导体工程/工艺/元件研发需求，开发AI Agent，实现研发流程的自动化与智能化； 2.结合大模型技术（如LLM、多模态大模型等），构建智能化的业务交互与决策系统，提升研发效率； 3.基于产品全生命周期的生产大数据，开发根因查询（RCA）、虚拟量测（VM）、高级工艺控制（APC）、高级机台控制（AEC）等智能化解决方案； 4.开发基于业务驱动的智能工程/工艺/元件设计优化工具，结合物理信息神经网络（PINN）、复杂结构数字孪生、先进材料自动选型等技术，实现研发创新； 5.与半导体研发工程师深入合作，理解业务逻辑，打通数据流，设计并开发能够替代工程师重复操作的AI Agent； 6.探索大模型及AI Agent在半导体研发中的应用场景，推动AI技术与业务需求的深度融合。
更新于 2025-09-19
社招5年以上研发技术类
1. 参与半导体测试相关软件或算法（如自动化测试、数据分析平台等）的需求分析、架构设计和代码开发； 2. 编写高质量、可维护的代码，完成模块开发、单元测试及系统集成测试； 3. 维护和升级现有软件系统/算法，跟踪和修复缺陷并提升性能，优化生产控制逻辑或数据处理流程等； 4. 编写技术文档，包括设计文档、接口文档及用户操作手册等； 5. 跟踪行业技术趋势（如 AI、大数据处理等），探索新技术在半导体测试中的应用。
更新于 2025-09-19
社招5年以上研发技术类
1.基于公司海量业务数据 构建系统性分析框架 2.运用数据挖掘技术识别问题，定位异常数据模式，输出可落地的改进建议 3.开发自动化数据分析工具与可视化系统，提升数据洞察效率 4.构建预测模型与诊断模型，支持业务决策智能化转型
更新于 2025-09-19
社招研发技术类
1.负责半导体EDA工具的集成串联与二次开发，优化多软件协同工作流程，提升工艺仿真效率 2.设计并实现网格数据结构与生成算法，完成多类型网格（体素/四面体/六面体等）的互转换，支持CAE仿真及多物理场分析需求 3.开发基于网格数据的定制化量测模块，实现包括但不限于：三维轮廓提取、接触面积计算、形貌特征分析等半导体工艺关键量测功能 4.研发网格编辑工具链，涵盖：网格变形算法（工艺形变模拟）、局部优化（热点修复）、拓扑简化（大数据处理）及容错修复（异常处理）等功能模块 岗位要求： 1.计算机，微电子，电子工程等相关本科及以上学历 2.熟悉计算机图形学的基本原理 3.熟悉C++语言，python语言 4.有物理引擎，CAD/CAE软件, 几何内核，计算机物理仿真等开发经验更佳
更新于 2025-09-19