At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As part of our global team, you'll thrive in an environment that champions curiosity, collaboration, and innovation, all while making meaningful contributions to the brands we accelerate.
Join us in shaping the future of communication and building authentic connections that matter. Whether you're solving complex problems or driving bold innovations, your growth is our success, and together, we’ll create the conversations of tomorrow.
Job Responsibilities:
1. Design and implement efficient and stable web crawler programs to collect, process, and analyze large volumes of data.
2. Responsible for the research and development and optimization of multi-platform information extraction, data cleaning, database storage, and service deployment.
3. Resolve various data requirements and interface issues encountered during the actual development process.
4. Participate in business requirement discussions and oversee the implementation of solutions from business requirements to technical execution.
5. Monitor the operational status of crawlers and handle daily issues related to data scraping stability and accuracy.
Qualifications:
1. Responsible for designing, developing, and maintaining efficient and stable crawling systems to enhance data collection efficiency and quality.
2. Responsible for the research and development and optimization of multi-platform information extraction, data cleaning, database storage, and service deployment.
3. Familiar with various web crawling frameworks and tools.
4. Proficient in programming with Python and Java.
5. Familiar with basic Linux commands.
6. Skilled in using mainstream open-source frameworks and tools, such as SpringBoot, SpringCloud, Maven, Redis, MyBatis, etc.
7. Familiar with the design and application of distributed systems, as well as mechanisms related to distributed computing, caching, and messaging.
8. Practical experience in handling large-scale data processing is preferred.