Building distributed and highly parallelised data processing pipeline which process massive amount of data (both structured and unstructured data) in batch and near real-time
Enrich and transform corporate data to enable searching, data visualization, and advanced analytics under Continuous delivery model
Working closely with data scientists and business stakeholders to develop analytics models
Automate processes where possible and are repeatable and reliable
Work closely with Architect, Platform Engineers and Product Management to deliver software in a continuous delivery environment

Requirements:

University degree in computer science, information systems, data science, or relevant fields
At least three years of experience in data pipeline development / event driven architecture and be a complex problem solver
Data driven thinking capabilities
Excellent communication skills and experience of working in an international team
Solid grounding in Financial Service
Experience with Data processing in large scale enterprise environment is highly desired
Experience of implementing data security capabilities such as encryption, anonymization is a big plus

Apply to Temporary Data Engineer (Digitalisation Office)