Data Architect (eMPF) - IC

• 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;