Data Engineer

5 Months ago • All levels

Job Description

As an Amanotes Data Engineer, you'll leverage hundreds of terabytes of data from 3+ billion users to create real business value through practical data solutions. Responsibilities include designing, building, implementing, and optimizing data/ETL pipelines; creating and maintaining system pipelines and data documentation; implementing Data Warehouse and Data Lake pipelines; engineering data platforms for automation; collaborating with stakeholders and the Data Analytics team to build deep learning models and data products; and working with external tech teams as needed. The role involves creating practical data solutions from massive datasets to drive business decisions and deliver impactful data products.
Must Have:
  • Design and build ETL pipelines
  • Maintain data documentation
  • Implement data warehouse and lake pipelines
  • Collaborate with stakeholders
  • Build deep learning models

Add these skills to join the top 1% applicants for this job

deep-learning
data-analytics

ABOUT AMANOTES

    • We are Amanotes - a dynamic interactive music company that's using cutting-edge technology to transform how people experience music. Since 2014, we have dominated the global simple music game market with over 3.5 billion downloads on over 190 countries. Our portfolio includes chart-topping music games like Magic Tiles 3, Tiles Hop, Dancing Road, Duet Cats.
    • As the world’s top Music Game Publisher and top App Publisher from Southeast Asia by downloads. Our ambition is to create the world’s iconic hybrid casual music games that people play for years
    • Come join our music-filled workplace and let's create a magical music experience!

OBJECTIVES

    • As an Amanotes’ data engineer you will be leveraging on hundreds terabytes of data from over 3+ billion users to create real business values through practical data solutions

WHAT YOU WILL DO

    • Design, build up, implement, optimize and own the data/ETL pipeline with the rest of the Data Engineer team
    • Create and maintain the system pipeline and data documentation
    • Implement the system pipelines (Data Warehouse, Data Lake)
    • Engineer data platforms to automate/facilitate data related processes
    • Collaborate with business stakeholders, Data Analytics team to build and implement deep learning model or algorithm focused data products (reusable assets) and solutions and deliver them right to the client
    • Work with external tech team if any projects are needed Data Engineer team to join with
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