- Evaluate and renew implemented big data architecture solutions to ensure their relevance and effectiveness in supporting business needs and growth.
- Design, develop and maintain data pipelines, with a focus on writing scalable, clean, and fault-tolerant code to handle disparate data sources, process large volume of structured / unstructured data from various sources.
- Understand business requirements and solution designs to develop and implement solutions that adhere to big data architectural guidelines and address business requirements
- Support and maintain previously implemented big data projects, as well as provide guidance and consultation on other projects in active development as needed
- Drive optimization, testing and tooling to improve data quality
- Document and communicate technical complexities completely and clearly to team members and other key stakeholders
- Degree qualified in Business management, IT, Computer Systems, software or computer engineering fields or equivalent.
- Minimum 6 years of experience in data warehousing / big data environments.
- Experience with big data processing
- Experience in designing and developing data models, integrating data from multiple sources, building ETL pipelines, and other data wrangling tools in big data environments
- Understanding of structured and unstructured data design/modeling
- Experience using software engineering best practices in programming, testing, version control, agile development, etc.
- Business Communication Proficiency – English and preferably Chinese
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Big data - Hong Kong, 香港 - CLPS
描述
Job Responsibilities:
Requirements:
Working location: Mainland China (Beijing, Shanghai, Guangzhou, Shenzhen, Hangzhou, Dalian, Chengdu)
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