The Data Engineer (AI) is responsible for building and maintaining robust data pipelines and infrastructure that power AI
subClassification: Database Development & AdministrationDatabase Development & Administrationclassification: Information & Communication Technology(Information & Communication Technology)
ออกแบบ พัฒนา และดูแลระบบ Data Pipeline และ ETL/ELT Processes
เขียน Python ได้คล่องแคล่ว (Python Programming)
Big Data Platform (Hadoop, Data Lake, Data Warehouse, Cloud Data Warehouse ฯลฯ)
Data Processing,ETL/ELT Processes,Python,SQL,Apache Spark, Airflow,Hadoop, Data Lake, Data Warehouse, Cloud Data Warehouse
subClassification: Database Development & AdministrationDatabase Development & Administrationclassification: Information & Communication Technology(Information & Communication Technology)
The Data Engineer (AI) is responsible for building and maintaining robust data pipelines and infrastructure that power AI and advanced analytics
subClassification: Database Development & AdministrationDatabase Development & Administrationclassification: Information & Communication Technology(Information & Communication Technology)
Scalable Data Platforms – Build reliable, high-performance data pipelines
Work with Airflow, Spark, Kafka, ClickHouse, and cloud technologies.
Career Growth – Learn, innovate, and grow with an experienced engineering team
Data Engineer in Operation team who will spend time monitoring, investigating, and fixing issues across data jobs and pipelines
subClassification: Database Development & AdministrationDatabase Development & Administrationclassification: Information & Communication Technology(Information & Communication Technology)