Job Title : Senior Data Engineer (Games) - Sea Labs
Location : Jakarta
Company : Shopee
Salary :
Open Date : 2023-04-12
Close Date : 2023-08-12

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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.

About the Team: About Sea Labs Indonesia Sea Labs is at the core of the Sea platforms development, supporting diverse business lines from e-commerce, supply chain, games, payment and finance, among many others. The strong growth and unique positioning of Sea's e-commerce business, Shopee, spurred the launch of Sea Labs Indonesia. Since its inception, the group of passionate engineers have charted the course to drive the best experience for our users in Indonesia, many of which solutions are even adapted to other markets in the region.
Sea's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience world-class projects first-hand if you love technologies as much as we do.Together with our passionate and driven teams, you'll get to develop your skills, build on industry knowledge and collaborate with global teams in a dynamic space. Browse our Sea Labs Indonesia team openings to see how you can make an impact with us.
About the Team Beyond gamification of everyday business transactions and marketing activities, Games Team creates and operates inhouse titles, starting from the conceptualisation, storyboarding, game engine development as well as leveling design, among other things. Beyond operations, the Team continuously explore latest variants of game mechanics and technology such as Augmented Reality (AR), Player-versus-Player (PVP) to unlock different gameplay and experience for our users. The word "Fun" best sums up the Team objective, as we believe that through games, we can be closer to and bring joy to our users while creating value for the business. 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.
• Minimum of 5 years of experience in relevant field.
• 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 are preferred.
• Preferably have past experiences in an Internet company, with practical experiences in enterprise data warehouse design and implementation.
• Good logical thinking and communication skills, as well as good project management and coordination skills.

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