职位描述：
Summary：
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
Apple’s Artificial Intelligence and Data Platforms (AiDP) team is seeking an experienced Software Engineer to build high quality, scalable and resilient distributed systems that power Apple’s cloud analytics platforms and data pipelines. Apple’s Enterprise Data Warehouse landscape caters to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions like Sales, Operations, Finance, AppleCare, Marketing and Internet Services, enabling business drivers to make critical decisions. We use proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc. If you are looking to tackle infrastructure problems at scale, both on-prem or in cloud, focusing on ease of use, ease of maintenance and most importantly implement solutions that are scalable, you will enjoy working in AiDP!
Description：
We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure.
This role will build solutions that integrate open source software with Apple’s internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform.
This is a challenging software engineering role, where a large part of an engineer’s time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.
职位要求：
Minimum Qualifications：
4 or more years of experience building enterprise-level data applications on distributed systems
Knowledge of BI concepts and Implementation experience on Cloud with databases like SnowFlake or Big Query
Programming experience with Python, Scala or Java.
Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications
Bachelor’s degree in Computer Science or equivalent experience
Preferred Qualifications：
Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
Experience in cloud data warehousing platforms like Snowflake is highly valued
Hands-on knowledge of Spark cluster-computing framework & Kubernetes or similar containerization technologies.
Experience developing Big Data applications using Java, Spark, Kafka is a huge plus
Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving
Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud
Data Visualization Tools: experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker
Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI.
招聘部门：
Apple Corporate Functions
工作地点：
Beijing, Beijing, China
面试建议：
Apple的AiDP团队正在寻找能构建高扩展性云数据平台的工程师，这个职位最独特的是需要同时处理云端和本地基础设施的混合架构，并整合开源技术到苹果生态。面试官会特别关注候选人在分布式系统和大数据技术栈（如Spark/Kafka）的实战能力，以及解决高数据量场景问题的经验。 准备面试时，建议重点梳理你在云数据平台项目的完整参与经历，尤其是涉及性能优化和系统扩展的案例。对于技术考察，除了熟练解释Spark/Kafka等组件的原理外，最好准备1-2个你解决过的具体技术难题，比如如何优化分布式查询性能或处理数据倾斜问题。苹果很看重工程师将技术创新落地的能力，可以提前思考如何将你的经验与职位描述中提到的业务场景（如销售分析、客户支持等）相结合。记得准备关于数据可视化（Tableau等工具）和基础ML应用的例子，这些是加分项。
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