Job Description
7 days ago
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
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
Interested candidates, please send your resume (MS Word document) including employment history, present and expected salary to
For more jobs, please visit our website:
(All personal data submitted will be treated in strict confidential and used for recruitment purposes only.)
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
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
Interested candidates, please send your resume (MS Word document) including employment history, present and expected salary to
For more jobs, please visit our website:
(All personal data submitted will be treated in strict confidential and used for recruitment purposes only.)
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