Manager - Data Infrastructure / Data Architecture
Hong Kong, Hong Kong SAR, Hong Kong
Hong Kong Broadband Network Limited
About The Team
At HKBN, its more than a job but an inspirational life journey. We offer a fast-paced, dynamic and fulfilling experience as you expand your career. We are one of the regions fastest growing telecom services and digital solutions providers. We bring together the best of technology, global partnerships, and customer-centric innovation with a Purposeful culture that unleashes Change and Growth. In Hong Kong, our Residential Solutions services 1-in-3 households, while our comprehensive one-stop Enterprise Solutions helps 1-in-every-2 active companies to transform digitally and stay competitive today and tomorrow.
HKBN is the place for resourceful, entrepreneurial and fun-loving Talents who like problem-solving and make deep impact: enrich lives, empower companies, and transform society. We are committed to deliver solid results through trust and passion across multiple geographical markets.
About this Role
- Support large-scale data management framework, implement batch/real-time data pipelines and data models on Hybrid-Cloud environment
- Responsible for visualize, design and prepare data in a framework that can be used by data scientists, data engineers or data analysts
- Translate business requirements into technology requirements and define data standards and principles
- Define data management and governance processes to ensure data quality and integrity throughout the data lifecycle.
- Bridging the gap between business goals and technology, ensuring proper execution of duties and alignment with business vision and objectives
- Collaborating and coordinating with multiple departments, stakeholders, partners and external vendors
About You
- Bachelor's degree in a Computer Science, or related field
- Minimum 4 years of experience with Data Lake/Cloud Data Platform implementation, have a keen understanding of Data Lake Architecture concept
- Strong experience in Azure database platforms or integration tools such as Azure Data Factory, Azure Databricks, Azure Synapse, and Data Lake Storage Gen2, etc.
- Experience in cloud-based design and development, preferably Azure core services
- Strong understanding of data architecture/data modeling/data governance/metadata management/data asset management
- Knowledge in NoSQL, data streaming, data scraping, elastic scaling, data security/governance, DataOps and standard API interfaces
- Experience in Pentaho/SQL/Python/Spark/node.js/Hadoop/Git, agile development processes and data-driven development
- Knowledge in Data Visualization Tool such as Tableau and Power BI
- Professional, passionate, innovative, self-motivated and able to present solutions to diverse groups of stakeholders.
- Good team player and leader in driving business objectives.
- Good command in both spoken and written Chinese and English
- We offer great training, a well-defined career path and a fun and challenging work environment where the right candidate will learn and grow with the company.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Azure Computer Science Databricks Data governance Data management DataOps Data pipelines Data quality Data visualization Git Hadoop Node.js NoSQL Pentaho Pipelines Power BI Python Security Spark SQL Streaming Tableau
Perks/benefits: Career development
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