Site Reliability Engineer, Data Infrastructure
5 days ago
Department Engineering and Technology - LevelEntry Level - LocationSingapore The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do. **About the Team**: - Shopee will be prioritizing applicants who have a **current right to work in Singapore**, and **do not require Shopee sponsorship of a visa**. - Kindly note that you can only be considered in **one recruitment process at a time within Sea Group** and will be considered for jobs in the order that you have applied. The Data Infrastructure team is responsible for building a stable, efficient, secure, and easy-to-use big data infrastructure and platform for the company. Committed to providing the company's various business teams and data teams, data analysts, machine learning teams, BI teams, etc. with its data-efficient and stable data storage, calculation, query, and analysis of the big data basic system; development and production platform, and data analysis platform. Including data collection, storage, offline calculation of massive data, real-time stream computing, online analysis and processing, instant return query, and other aspects of data infrastructure support, as well as big data development, production scheduling, data quality monitoring, data maps, and other platform services. Provide the upper-level business team and data team with a basic platform for various technical directions such as computing scheduling, batch computing, real-time computing, structured data query, big data analysis, and KV query. Help business teams build data reports, data monitoring dashboards, real-time business data processing, data mining, and analysis, etc. - Responsible for maintaining big data system such as Hadoop/Spark/Storm/Kafka. - Responsible for big data ops architecture review, capacity planning, cost optimisation, tracking and troubleshooting, and building a big data monitoring system to maintain overall stability and efficiency. - Deeply participate in big data related businesses, such as search engine, deep learning, and promote the sustainable development of big data business. - Responsible for the maintenance and development of the BigData ops automation platform, and improve the operation and maintenance management level of big data. **Requirements**: - Bachelor’s or higher degree in Computer Science, Engineering, Information Systems or related fields. - Familiar with the linux system and script developments, familiar with the common python/Shell background development. - Familiar with BigData platform such as Hadoop/zookeeper/redis/kafka/SPARK/MQ/ELK will be a plus. - Familiar with large-scale big data operation and maintenance architecture solutions will be a plus. - Excellent communication, expression and organizational collaboration teamwork ability, adapt to a diversified international working environment. Proficient in English communication.
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