大数据研发工程师-Data
Core
Build efficient, stable, real-time data pipelines for massive user behavior and business data in ad tech; analyze data to build metrics systems and support strategy iteration; explore and implement AI+data solutions like intelligent attribution and LLM applications in data warehousing.
Role type
Senior IC big data engineer (ad tech)
Builds
Real-time data pipelines, metrics systems, AI-driven data warehousing features
Domain
Ad tech, big data infrastructure, AI for data
Deliverable
production ML models
Required skills
Python, Java, Scala, Spark, Hive, Hadoop, Flink, Kafka, distributed computing, data analysis, LLM principles, Agent orchestration
Preferred skills
Spark source code familiarity, secondary development, AI coding, intelligent attribution, open source contributions, user behavior analysis
Technologies
Spark, Hive, Hadoop, Flink, Kafka
Responsibilities
Build and optimize real-time data pipelines for ad business metrics; Analyze data to establish metrics systems and support business decisions; Implement AI+data features like intelligent attribution and LLM applications; Optimize big data infrastructure for performance and availability in production environments.
Seniority
Mid-Senior, hands-on IC
