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Data Architect (eMPF) - IC

Hong Kong Island, Hong Kong, Hong Kong

• Lead and work with IT team on data discovery, data acquisition/integration/enrichment from a wide-spectrum of data sources

• Data modeling for datalake, data warehouse & data marts

• Data visualization, data governance as well as new technology adoption

• To lead and work with IT team to meet fast growing business needs; plan resources and prioritize with business stakeholders in a time-sensitive environment with competing deadlines.

• Improve and strengthen data governance especially on data privacy protection and security measures.

• Working closely with source system owners on data discovery, data glossary, data acquisition, ingestion and enrichment.

• Build enterprise data models for enterprise datalake, data warehouse and data marts.

• Working closely with downstream system owners on data integration

• Working with business units on data visualization: KPI/metric reporting, business intelligence for enterprise performance analysis

• Working closely with technical architecture team to identify, evaluate and adoption of new data management technologies (RDBMS, Hadoop, NoSQL, data integration, visualization) to keep up evolving business needs.

Responsibilities

• Design, develop, maintain, and manage the data pipeline, data quality and data management for meeting the core systems and project requirements, and business needs.

• Work closely with different business stakeholders to maintain and develop a centralized data warehouse for data management, and data pipeline

• Oversee and manage the work-flow of data quality management, data cleansing and data exchanges processes by designing and implementing different rules and best practice

• Write SQL, PL/SQL, Python to run queries and support data analysis work Job requirements:

• Solid knowledge on database, modelling, data cleaning, transformation and warehousing, and data lake

• Good command in both Cantonese and English

• Solid experience to design and develop, maintain the Enterprise Data Warehouse and Business intelligence, and data visualization environments.

• Experience in designing and delivering solutions within big data environments such as AWS, Mango DB etc.

• Experience in Pension Business is preferred

Responsibilities

• Design data pipeline and dashboard to support different reporting purpose from existing multiple data sources;

• Develop and maintain the data mapping and Glossary for the BI reporting, analysis and data modelling;

• Design a good knowledge management BI tool to contribute the planning & execution of data-insights;

• Provide data statistical support for scheme review on key statistical issues;

Job Requirements

Data Architect (eMPF)

Requirements

• University graduate in Information Technology, Computer Science, Data Science or related disciplines

• 10+ years of experience in data warehouse & analytics domain, with 5+ years in leader role in BigData project.

• Strong business acumen and fast learner of new business.

• Strong problem solving skills, excellent communication and presentation skills

• Solid technical experience in datalake, data warehouse and data mart design, batch/real-time data integration (ETL/ELT), data visualization, and data analytics.

• Deep understanding of data security and compliance.

• Solid knowledge on data management technologies

• RDBMS, NoSQL, Hadoop eco-system

• Data integration coding and tools (Informatica, InfoSphere, Talend, etc)

• Data Visualization tools (e.g. QlikSense, Tableau, PowerBI, Jasper, Pentaho, etc.)

• Solid experience in marketing campaign system and digital marketing techniques.

Requirements

• Degree Holder or above in Computer Science or related disciplines

• Minimum 5 years of working experience in Data Management.

• Solid experience on Data Management or Data Engineering.

• Passionate in data management, data analysis and business intelligence

• Strong team player and with can-do attitude

Requirements

• Degree holder in computer science;

• 3 to 5 years of solid experience in ETL development and orchestration for building large scale analytical data pipelines;

• 3 to 5 years of development experience using Power BI Desktop as well as row level security/workspace management using Power BI service;

• Solid experience in database solution development by MS SQL and Oracle including stored procedures;

• Development experience in Data-warehouse or Business Intelligence tools;

• Experience in Database and Windows Server Clustering and Performance Tuning is a plus;

• Good command in Cantonese and English;

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Data Architect (eMPF) - IC jobs in Hong Kong Island, Hong Kong, Hong Kong

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