Job Responsibilities:<br>
<ul>
<li>Responsible for the design, development and optimization of the big data platform, building a highly available and high-performance data processing system.</li>
<li>Participate in the development and maintenance of data collection, cleaning, storage, calculation and analysis processes. </li>
<li>Design and implement data models and algorithm logic based on business requirements, supporting real-time and offline data analysis.</li>
<li>Research and apply big data related technologies (such as Hadoop, Spark, Flink, etc.) to solve practical problems.</li>
<li>Collaborate with product, operations and other technical teams to drive data-driven product optimization and decisions.</li>
</ul>
<br>
Requirements:<br>
<ul>
<li>Computer Science, Software Engineering or related professional bachelor's degree or above, with solid programming foundations.</li>
<li>Familiar with Java, Python, Scala, etc., at least one programming language, and have good coding conventions.</li>
<li>Master the Hadoop ecosystem, including HDFS, MapReduce, Hive, HBase, etc. core technologies.</li>
<li>Have good data structure and algorithm skills, and be able to independently design and implement complex tasks.</li>
<li>Have strong learning and communication skills, and be able to quickly adapt to new technologies and environments.</li>
</ul>
<br>
Benefits:<br>
<ul>
<li>Provide market competitive salary and performance bonuses.</li>
<li>Enjoy national statutory holidays, paid annual leave, and related social security benefits.</li>
<li>Regularly organize employee training, technical sharing, and career development opportunities. </li>
<li>Provide rich team building activities and health check-up services. </li>
<li>Flexible work schedule, creating a high-efficiency and relaxed work atmosphere.</li>
</ul>