Senior Batch Data Engineer (Alibaba Cloud Stack)

Key Responsibilities

• Pipeline Architecture & Data Warehouse Modelling
• Design, build, and maintain scalable ETL/ELT batch pipelines using Alibaba Cloud DataWorks and MaxCompute.
• Rapidly design and build enterprise data warehouse layers (ODS, DWD, DWS, ADS) using modular SQL/Python scripts and AI generation tools.
• Develop and optimise data ingestion, transformation, and batch processing workflows across Lakehouse and Data Warehouse architectures (MaxCompute, Hologres, DataWorks, DTS).
• Ensure data reliability, high query performance, schema stability, and cost-effective cloud resource usage.
• AI-Accelerated Engineering & Testing
• Integrate modern AI tools and techniques (e.g. Claude, GitHub Copilot, prompt engineering) into daily workflow to accelerate code generation, SQL refactoring, and data validation.
• Apply new AI testing methodologies to rapidly write unit tests, simulate data scenarios, and audit data accuracy prior to production release.
• Data Quality, Monitoring & Alerting
• Implement strict data quality rules, automated reconciliation scripts, and validation checks directly inside DataWorks jobs.
• Build proactive alerting and monitoring workflows (integrated with Lark) to detect data drift, schema breaks, or pipeline failures before business impact occurs.
• Support downstream analytics, BI reporting, and AI/LLM services with clean, trusted datasets.
• End-to-End Ownership & Collaboration
• Take full ownership of daily T-1 batch pipeline stability, job scheduling, historical backfills, and legacy issue cleanup.
• Act as a bilingual technical bridge, collaborating fluently in both English and Chinese with cross-functional technical leads, product managers, and developers.

Required Qualifications

• 5+ years of hands-on expertise with Alibaba Cloud data services: DataWorks, MaxCompute, DTS, Hologres, FC Functions, Data Agents, and MaxCompute Lakehouse architectures.
• Advanced proficiency in SQL and Python for data engineering, performance tuning, and database optimisation.
• Proven experience modelling multi-layer enterprise data structures (ODS, DWD, DWS, ADS) and managing batch Lakehouse architectures.
• Fluent in both English and Chinese, spoken and written, for seamless technical collaboration with regional teams.
• Strong sense of ownership, high velocity, proactive communication, and a "deliver fast, iterate continuously" attitude.

Preferred