Responsibility:
1.Data architecture: Responsible for designing and implementing
data architecture, including data models, data flows, data storage,
and data integration. Ensure that the data architecture meets
business requirements and has good scalability and performance.
2.Data model design: Create and maintain data models, including
logical and physical models. Understand business requirements
and translate them into actionable data models, ensuring data
consistency and accuracy.
3.Data integration and processes: Responsible for design and
implementation of data extraction, transformation, and loading
( processes. Integrate different data sources and systems,
ensuring data accuracy and integrity.
4.Data security and compliance: Develop data security and
compliance strategies, ensuring data confidentiality, integrity, and
availability. Understand relevant data privacy regulations and
compliance requirements and incorporate them into the data
architecture.
5.Data quality management: Establish data quality standards and
processes, monitor and improve data quality, identify and resolve
data quality issues. Assist in data governance work.

Qualification & Skills:
Masters’s degree or higher in Computer Science,
Information Technology, or related majors.
 5+ years of experience in in data processing, data
integration, or related fields.
 Experienced in large-scale data processing and analysis,
including data cleaning, data preprocessing, data modeling,
and data analysis.
 Expertise in using big data processing frameworks and
tools like Hadoop, Spark, Flink, MapReduce, Hive, and
related components such as Oozie, ZooKeeper, etc.
 Familiarity with big data services on cloud platforms like
Huawei Cloud/Alibaba Cloud/AWS, as well as associated
deployment and maintenance.
 Understanding of data warehouse architecture design and
data lake concepts, capable of designing and optimizing
data storage solutions
 Proficient in Linux/Unix operating systems with practical
experience working in a Linux environment.
 Mastery of at least one or higher programming languages
such as Python or R.
 Skilled in data structures and algorithm principles and able
to apply them to solve real-world problems.
 Conversational in English in writing and speaking.

其他信息
语言要求：英语、普通话
行业要求：全部行业