小米Senior Big Data Engineer

You will design and build data warehouses on cloud, to provide efficient analytical and reporting capabilities across Apple’s global and regional sales and finance teams. You will develop highly scalable data pipelines to load data from various source systems, use Apache Airflow to orchestrate, schedule and monitor the workflows. Build generic and reusable solutions meeting data warehousing design standards for complex business requirements. You will be required to understand existing solutions, fine-tune them and support them as needed. Data quality is our goal and we expect you to meet our high standards on data and software quality. We are a rapidly growing team with plenty of interesting technical and business challenges to solve.We seek a self starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams.

• Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs. • Develop automated data monitoring tools and interactive dashboards to enhance business teams’ insights into core metrics (e.g., user behavior, AI model performance). • Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer. • Establish data standardization and governance policies to ensure consistency, accuracy, and compliance. • Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows. • Explore innovative AI-data integration use cases (e.g., embedding AI-generated insights into BI tools). • Provide technical guidance and best practice on data architecture that meets both traditional reporting purpose and modern AI Agent requirements.

You will design and build data warehouses on cloud, to provide efficient analytical and reporting capabilities across Apple’s global and regional sales and finance teams. You will develop highly scalable data pipelines to load data from various source systems, use Apache Airflow to orchestrate, schedule and monitor the workflows. Build generic and reusable solutions meeting data warehousing design standards for complex business requirements. You will be required to understand existing solutions, fine-tune them and support them as needed. Data quality is our goal and we expect you to meet our high standards on data and software quality. We are a rapidly growing team with plenty of interesting technical and business challenges to solve.We seek a self starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams.

• Analyze massive datasets to extract insights and prototype predictive models that forecast infrastructure capacity needs. • Develop scalable solution pipelines to enhance the efficiency, reliability, and performance of Microsoft 365 and Copilot services. • Leverage generative AI and agentic orchestration to build intelligent systems that address complex infrastructure challenges. • Design and implement innovative machine learning and mathematical models to drive breakthrough optimizations. • Collaborate with cross-functional teams—including product, engineering, and research—to align efforts and deliver high-impact solutions. • Translate advanced research into durable, data-driven products that create lasting business value.