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You will participate in developing and maintaining the platform allow us to manage the risk in managing existing buildings to be more accessible. The platform will allow us to monitor the risk with data analysis on a simple, customizable dashboard.
You will implement data platform architecture including big data, NoSQL and AI, and applications for providing data services to other systems and business users.
You will participate in a Digital Transformation Project for a Leading Financial Institution in Hong Kong - to understand and analyze requirements and existing business practices/ business process flows, improve and optimize them according to today's technology and translate them for project development/execution.
Our client, a top tier and highly influencial financial firm is looking for a skilled Data Engineer. The candidate must have at least 4 years of data engineering experience and be strong in Python development to handle regular or ad-hoc data requests from different business teams. Additionally, they must be able to develop and implement end-to-end data pipelines from data collection, ETL, analysis, reporting to visualization, including dashboard building.
Our client is currently looking for seasoned data science engineer with machine learning optimisation experience to optimize core Python libraries, develop automated recovery mechanisms, and monitor cloud infrastructure.
Handle regular or ad-hoc data requests from different business teams, develop and implement end-to-end data pipeline from collection, ETL, analysis, reporting to visualisation including dashboard building & data modelling
You will participate in the development project of data visualisation for Network/ Customer Performance Monitoring System
Responsible for data quality assurance activities for core and data warehouse, ETL applications testing;
Due to expansion in APAC region, they are hiring a Data Engineering to support their data initiatives on cloud platform.
The global trading firm is looking for an experienced Software Engineer to work on exciting Big Data projects. He/she will work on tasks e.g. valuation engine which processes trade data, market data from the front office systems, process streamline and optimization, new business requirements, and cloud migration.
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