Big Data Development Engineer

📋 Description

• Warehouse Construction & Optimization: build group-level data warehouse (Offline &
• Tag System Development: create real-time and offline tagging to support outreach.
• Feature Engineering: design user/product feature libraries and drive personalized recommendations.
• Modeling & Architecture: model data and ensure reusability and scalability.
• Data Governance: implement data quality monitoring and alerts.

🎯 Requirements

• Education: Bachelor’s degree or above in CS, Math, Stats, or related fields.
• Technical Experience: 2+ years in data warehouse development; expert SQL with optimization
• Core Knowledge: Data Warehouse, ETL, OLAP, multidimensional modeling.
• Programming Skills: Python, Scala, or Java.
• Ecosystem Familiarity: Hadoop, Hive, Spark, Flink, Kafka, Trino, Doris, or TiDB.
• Soft Skills: Rigorous, logical, communicative, team player, problem-solver.

🎁 Benefits

• Growth-focused environment with study funds and internal events.
• Global collaboration with diverse, international team.
• Career advancement and internal mobility opportunities.