Data Engineer (English, Azure)

QUALIFICATIONS / EXPERIENCE Bachelor’s degree or above, major in computer or IT. 3+ years of overall experience in ETL development with the program language like Python/Scala/Spark/Flink, leverage Azure Data Factory, Azure Databricks to construct the data pipeline. Good understanding for multiple Database, Ex. NoSQL DB, Azure SQL, MPP DB. 3+ years of experience in deploying and life cycle management of platform services on public cloud infrastructure like Azure Cloud Has the experience and skills on task management, usage of Agile toolkit, Ex. JIRA and Confluence. KNOWLEDGE & TECHNICAL SKILLS Scripting background with PowerShell or Azure CLI, Configuration management experience on Windows and Linux Experience with Azure main components, Ex. AKS, ADF, Databricks, ARM etc. Experience for the development of real-time data streaming process, Ex. Kafka, Spark streaming, Flink etc. Strong troubleshooting skills and ability to work in delivery driven team environment, handle multiple tasks and react quickly to problems and issues Knowledge of security best practices is preferred Good command of English communication, proficiency in Mandarin or Cantonese is a plus.