Senior Data Engineer

Job Description:

The Data Analytics team is hiring a SeniorData Engineer to own the design, governance, and reliability of business datawarehouses. This is a data content-layer role, not a platform engineeringposition. The focus is to build fewer, more accurate, stable, and standardizedtables, enabling faster data access and consistent metrics.

Job Responsibilities:

Data Warehouse Development: Designdata models and tables across derivatives, spot trading, wealth management,channels, middle-office functions, compliance, and other domains. Build ascalable DWD/DWS/ADS architecture on Alibaba Cloud MaxCompute.

Data Governance: Lead lineage mapping,redundant table consolidation, obsolete job decommissioning, metricstandardization, and table-creation/review standards.

Scheduling & Data Quality: Ownscheduling, dependencies, monitoring, alerting, troubleshooting, andpost-incident reviews. Ensure data SLAs through validation, cross-sourcereconciliation, and anomaly detection.

Metric Standardization: Partner withanalysts to define and document consistent metric definitions and calculationlogic.

Analytics & BI Support: Supportselected data extraction and ad hoc analysis requests, and build or maintaincore dashboards in DataWind.

Job Requirements:

6+ years of experience in data warehousing or datadevelopment; experience building a data domain from 0 to 1 or leadinglarge-scale warehouse restructuring/governance is preferred.

Expert SQL skills, including complex queryingand performance tuning, plus strong Python skills for data processing andautomation.

Strong knowledge of dimensional modeling andlayered data warehouse architecture, with the ability to independently designmodels and lead design reviews.

Hands-on data governance experience acrosslineage analysis, metric standardization, asset decommissioning, and governancestandards, with measurable before-and-after impact.

Experience with MaxCompute/DataWorks orsimilar platforms (Hive, Spark, Snowflake, BigQuery) and DataWind or similar BItools (Tableau, Power BI, Superset).

End-to-end experience in scheduling,monitoring, alerting, and troubleshooting, with strong ownership of data SLAsand the ability to communicate effectively with analysts and businessstakeholders.