Data Warehouse Engineer

📋 Description

• Warehouse construction & optimization of public data warehouse (Offline & Real-time).
• Tag system development for real-time and offline tagging.
• Feature engineering: build user/product feature libraries.
• Modeling & architecture: data warehouse modeling & scalable design.
• Data governance: data cleaning, quality monitoring, alerting.

🎯 Requirements

• Education: Bachelor’s degree in CS, Math, Stats or related.
• Tech experience: 2+ years in data warehouse development; strong SQL.
• Core knowledge: ETL, DW architecture, OLAP, multidimensional modeling.
• Programming: Python, Scala, or Java proficiency.
• Ecosystem familiarity: Hadoop, Hive, Spark, Kafka, Trino, Doris, TiDB.
• Soft skills: rigorous, good communication, capable of teamwork.

🎁 Benefits

• Growth fund for professional development.
• Internal events for team collaboration.
• Global collaboration with international teams.
• Career advancement opportunities in a growing company.
• Internal mobility for long-term growth.