Big Data Engineer - Recommendation Architecture (Bytedance Singapore)

About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​ Why Join ByteDance Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.​ As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.​ Diversity & Inclusion​ ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​ Job highlights Positive team atmosphere, Career growth opportunity, Paid leave Responsibilities About The Team Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems. Responsibilities - Design and implement a reasonable offline data architecture for large-scale recommendation systems - Design and implement flexible, scalable, stable and high-performance storage and computing systems - Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system - Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems - Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software - Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets - Visualise, interpret, and report data findings and may create dynamic data reports as well Qualifications Minimum Qualifications - Bachelor's degree or above in computer science, software engineering, or a related field; with 3+ years of related experience. - Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc. - Familiar with Java, C ++ and other programming languages - Strong coding and trouble shooting ability