Job Description

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.

Job Description:
  • 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
  • Junior/senior candidates with no experience are welcomed
  • 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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Job Detail

  • Job Id
    5e34d3b343842b31
  • Location
    id
  • Company
  • Type
    Private
  • Employment Status
    Permanent
  • Positions
    Available
  • Career Level
    Experience
  • Gender
    Male/Female

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