A reputable firm is currently expanding their Banking team and looking for multiple Data Engineer / Developer/ Analyst for their projects
Responsibility
Design, develop, test, and maintain data processing pipelines using PySpark and related technologies
Build ETL workflows (Extract, Transform, Load) to move data from multiple sources into target systems
Write and optimize jobs for data quality, consistency, and performance
Analyze complex datasets and help turn data into actionable insights
Collaborate with the team on code reviews, documentation, and continuous improvement
Troubleshoot and resolve issues in data processing and integration environments
Support production deployment, monitoring, and ongoing maintenance of data solutions
Requirement
Bachelor's degree in Information Technology, Computer Science, Engineering, or related discipline
Minimum 2 years of experience in Python, including data structures/algorithms and data manipulation libraries (e.g., Pandas)
Strong knowledge of Apache Spark, including RDDs OR DataFrames OR Datasets OR a understanding of Spark architecture
Solid experience with SQL for data querying and manipulation
Hands-on ETL experience using PySpark
Strong analytical and problem-solving skills to debug data pipeline issues
Communication: English and Cantonese (spoken and written). Putonghua is a plus
Interested parties please send full resume in MS WORD format stating current salary, expected salary and availability to us
************* Unit 506, 5/F, New World Tower 1, 18 Queen's Road Central. Hong Kong
All information received will be kept in strict confidence and only for employment-related purposes
Full-time