Our client is a leading global fintech firm rapidly expanding in Malaysia. They are currently building a team of highly skilled Data Engineers to work on payment-related data using the very latest big data and cloud technologies.
Job Description
Support the development of data assets focused on user growth and assist in data guidance and governance activities.
Create solutions for managing data risks while ensuring compliance with relevant privacy and security laws and regulations.
Contribute to establishing systems for indicators and operational analysis, aimed at improving customer management efficiency for overseas wallet operations.
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Job Requirements
Minimum of 4 years experience in big data development, with the ability to contribute to overall model design and R&D delivery for specific business needs.
Familiarity with offline big data technologies such as Hadoop, Hive, Spark, and MaxCompute; understanding of their implementation principles and optimization.
Knowledge of OLAP engines such as Clickhouse, Presto, and Hologres, with insights into distributed database architectures, column storage, indexing, etc. Practical experience is a plus.
Proficiency in real-time computing systems, including data acquisition, and experience with at least one computing engine such as Storm, Spark Streaming, or Flink; understanding of transactions, fault tolerance, and reliability in real-time computing environments.
Understanding of data quality assurance and governance tasks, with the ability to address governance challenges across the data system lifecycle and optimize technologies to develop reusable governance solutions that effectively address business requirements.
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If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Ben Goh at resume.my@pinpointasia.com and put Senior Big Data Engineer - Leading Fintech Firm in the subject header.
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