Big Data Engineer
1 month ago
Job Summary:
We are seeking a highly skilled Big Data Engineer to join our team at CLPS. The successful candidate will be responsible for designing, developing, and maintaining big data architecture solutions to support business needs and growth.
Key Responsibilities:
- 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 and process large volumes of structured and unstructured data.
- 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 and 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.
Requirements:
- 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.
Working Location: Mainland China (Beijing, Shanghai, Guangzhou, Shenzhen, Hangzhou, Dalian, Chengdu)
How to Apply: Please send your resume to the designated contact.
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