Data Engineer - Data Warehouse

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Shopee

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Job Summary


Salary
S$7,875 - S$14,500 / Monthly EST

Job Type
Permanent

Seniority
Senior Mid Junior

Years of Experience
At least 2 years

Tech Stacks
T SQL Spark Flink SQL Scala Hadoop Python Java

Job Description

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.

  • Design and manage Data warehouse plan for a product, such as: design data model, define data metric, data governance and so on
  • Collaborate with Business Intelligence, Business and Product Management teams
  • Use data to solve problems, identify needs and opportunities
  • Design, build and maintain the batch or real time data pipeline in production using Hadoop big data technology
  • Define and manage service level agreement, data quality for all data sets in allocated areas of ownership

Requirements

  • Bachelor's Degree in Computer Science or a related technical field.
  • 2~10+ years working experience with programming languages,such as Java,Scala,Python
  • Ability to write efficient SQL statements
  • Familiar with Hadoop, Spark and Flink data processing, experience of TB data processing experience is a plus
  • Familiar with data warehouse modeling, such as dimensional data modeling and schema design
  • Understand data mining or machine learning
  • Excellent communication skills including the ability to identify and communicate data driven insights
  • Strong logical thinking and analysis abilities
  • Passionate, self-motivated, and takes ownership

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