
Data Engineer
2 weeks ago
DepartmentEngineering and Technology- LevelEntry Level- LocationSingaporeThe 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.
- ** Design, build and maintain the real-time streaming system to support timely and accurate ingestion of various types of data (e.g. User behavior, RDS, NoSQL DB, and others) into storage**:
- ** Design, build and maintain data warehouse for Shopee’s e-commerce search and recommendation**:
- ** Translate data requirements into scalable technical data service with low latency and high concurrency**:
- ** Design, build and maintain batch or real-time data pipeline for algorithm, analytics and operational purpose using Hadoop big data technology**:
- ** Analyze and improve the efficiency, scalability, and stability of the data pipelines and related platforms or tools**:
- ** Define and manage service level agreement and data quality for all data sets**
**Requirements**:
- ** Minimum Bachelor’s degree in Computer Science or a related technical field**:
- ** Proficient in working with programming languages, such as Java and/or Scala**:
- ** Proficient in Hadoop, Spark, MapReduce, and Hive/Spark/Presto SQL, experience with PB batch data processing is a plus**:
- ** Familiar with data warehouse standard, experience with live system data warehouse is a big plus**:
- ** Familiar with streaming data processing using Flink and Kafka**:
- ** Experience in designing and operating a robust distributed system is a plus**:
- ** Understanding data mining or machine learning is a plus**:
- ** Having a passion to work intimately with data**:
- ** Self-motivated and takes ownership
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