Temporary Data Engineer (Digitalisation Office)
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Summary
Build distributed data pipelines for batch and real-time processing within a financial institution. Responsibilities include transforming data for analytics, automating workflows, and collaborating with data scientists using a continuous delivery model.
Temporary Data Engineer (Digitalisation Office)
- Central, Hong Kong
Our client is a Leading Financial Institution,they invite bright and energetic candidate for the following vacancy:
Temporary Data Engineer (Digitalisation Office)
Responsibilities:
- 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
Our client is a Leading Financial Institution,they invite bright and energetic candidate for the following vacancy:
Temporary Data Engineer (Digitalisation Office)
Responsibilities:
- 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
- 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