Amanotes JSC

Overview of job

We are Amanotes! A fast-growing startup in the music-tech industry. We seek to delight people with interactive music experiences. Since 2014, 30+ music games and mobile applications were published under our name with over 1 billion downloads worldwide and 95+ million monthly active users. In 2019, we were proudly listed as the #1 mobile apps publisher from Southeast Asia, the #1 music games publisher in the world, and one of the top 20 mobile apps publishers in the world across all categories.

If you love to work in a creative environment with music all around the corner, come join us!

Explore our products on Google Play and iOS App Store such as Magic Tiles 3, Dancing Ballz, and Tiles Hop.

We are looking for Data Engineer.

Objectives

• As an Amanotes’ data engineer you will be leveraging on hundreds terabytes of data from 1+ billion users to create real business values through practical data solutions

Objectives

• Design, 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 and AI/ML teams to build and implement deep learning model or algorithm focused data products (reusable assets) and solutions and deliver them right to the client

Benefits:

• Truly startup spirit: no bureaucracy, no hierarchy. Everyone is a leader here, you have the freedom to pursue and achieve your goals
• Global focus: you’ll work with people from 10+ countries on ideas that don’t have borders
• Flexible working hours & working from home policy
• Personal learning & treatment budget
• Performance bonus
• 13th-month salary
• Monthly team building
• Music school for: piano, guitar, vocal, cajon, dancing, etc
• Company trip overseas every year
• Parental support
• Assistance for expatriates: relocation and documental support

• 1+ years hands-on experience deploying production quality code
• Experience with at least two of the following technologies: Python, BigQuery (knowledge JavaScript/ReactJS is a plus)
• Experience data-intensive projects in the GCP (AWS ecosystem, Hadoop ecosystem, Spark, Kafka are plus)
• Experience and interest in Cloud platforms such as Google Platform, AWS, Azure or Databricks
• Experience with Airflow or other pipeline orchestration softwares
• Deep understanding of SQL and analytical data warehouses (BigQuery preferred)
• Experience with BI/data visualization tools is plus
• Data modeling skills - familiarity with major methodology i.e. Kimball, Inmon, Data Vault