Position Overview
We are seeking an experienced Data Engineer to design and maintain robust data warehouse systems and big data platforms. The ideal candidate will have excellent hands-on experience with Hadoop ecosystem tools, strong Java development skills and a solid understanding of ETL processes and Web3 data needs.
Job Responsibilities:
Design and develop efficient data warehouse systems to support business needs such as data analysis and reporting needs and more
Build, operate, and optimize big data platforms (Hadoop, HBase, Hive, Spark, etc.)
Develop and maintain data processing services and backend business systems using Java
Construct and maintain ETL/ELT processes for structured and unstructured data
Optimize data storage and query performance, enhance system stability and scalability
Collaborate with data analysis and blockchain development teams to support Web3 project data requirements
Write relevant technical documentation, maintain architecture diagrams, data flow documentation, etc.
Job Requirements:
Bachelor’s degree or above in Computer Science, Software Engineering, or related fields
At least 3 years of experience in data warehouse development and big data platform operations
Familiar with the Hadoop ecosystem (HDFS, YARN, HBase, Hive, Spark, etc.)
Solid Java programming skills with the ability to independently develop backend systems
Familiar with common SQL and data modelling design (e.g., HiveQL)
Good understanding of Web3 concepts such as smart contracts, tokens, and on-chain data structures is advantageous
Proficient in Linux systems and Shell scripting, with strong troubleshooting skills
Professional-level Chinese proficiency for seamless stakeholder communication.