Engineering and Technology

1 week ago

Jakarta, Indonesia Shopee Full time

DepartmentEngineering and Technology

LevelExperienced (Individual Contributor)

LocationIndonesia - Jakarta

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 the 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. Browse our Engineering and Technology team openings to see how you can make an impact with us.
- Participate in the construction of Shopee's enterprise-level Games and CRM business data warehouse.
- Continuously improve the quality and services of the data warehouse based on the requirements of accuracy, timeliness and stability.
- Participate in the data-based operations of the e-commerce business, building multiple data and product services to support business development and decision-making.
- Work on tasks such as but not limited to: design and development of real-time /offline data warehouses, enterprise level big data architecture, data integration, data governance, etc.

**Requirements**:

- Bachelor's degree or higher in computer science, software engineering and other related technical fields
Familiar with one or more big data processing technologies, such as Spark, Flink, HBase, Kafka, Druid, Clickhouse etc.
- Experience in SQL (Spark and Presto) is a must
- Proficiency in one or more programming languages: Java, Scala, Python etc
- Proficient or familiar with data warehouse architecture and principles, with relevant experiences in big data architecture design, model design and performance tuning
- Practical experience in real-time data warehouse architecture (Lambda/Kappa architecture), real-time data processing and real-time data warehouse is preferred
- Experiences in an Internet company, with practical experiences in enterprise data warehouse design and implementation would be an advantage
- Good logical thinking and communication skills, as well as good project management and coordination skills

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