Job Description

About 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 2 billion downloads worldwide and 120+ million monthly active users.
• View Amanotes on Gambaru Platform

Where we are going

Growth:

• Scale our music platform to retain the top position in the industry in terms of functionality, user experience, and performance
• Take a high level of ownership to get the job done and coach junior guys.
• Explore and evaluate the practicality of new technologies to improve existing processes and/or products
• Brainstorm to make clear product ideas and technical solutions
• Proactively manage tasks and processes using the JIRA suite.

Daily Work:

• As an Amanotes data engineer, you will be leveraging hundreds of terabytes of data from 2+ billion users to create real business values through practical data solutions.
• 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, and AI/ML team to build and implement deep learning models or algorithm-focused data products (reusable assets) and solutions and deliver them right to the client.
• Work with external tech teams if any projects are needed Data Engineer team to join with.

What you can expect

• Silicon Valley-style work culture: move fast, break things, make mistakes, learn quickly, and grow.
• Work from Home policy and Flexible Time Management as well
• Opportunity to learn and extend the roles within the engineering team whatever it is, like research, analytics, automated test, business development, product management, DevOps,...
• Open, direct, collaborative, and no-politics working environment
• Dealing with many challenging engineering problems to build, scale, and secure the data platform
• Apply the Grow-at-Work package from Gambaru
• Free ticket to Gambaverse where you can grow your skills, your emotion, and your finance as well.

Your Skills and Experience

What we are looking for

Must have:

• 3-4+ years of hands-on experience deploying production quality code.
• Experience with the following technologies: Python, Google Cloud Platform (included at least GCS, BigQuery), Airflow, and DBT.
• Knowledge of JavaScript/ReactJS is a plus.
• Experience with Airflow or other pipeline orchestration software.
• Deep understanding of SQL and analytical Data Warehouses (BigQuery preferred).
• Deep understanding, skills, and experience in deployment.
• Data Modelling for Data Warehouses - familiarity with major methodology, i.e. Kimball, Inmon, Data Vault.
• Experience in working with Linux environment, Git.
• Experience and interest in Cloud platforms such as Google Platform, K8S, AWS, Azure, or Databricks.

It will be a plus:

• Experience in deployment data process CI/CD on Gitlab/Github/Bitbucket.
• Experience data-intensive projects in the AWS, and GCP (AWS ecosystem, Hadoop ecosystem, K8S, GCS Data Lake).
• Experience and knowledge in the streaming ETL process are pluses (Kafka, Apache Spark, Pub/Sub,…).
• Experience with BI/data visualization tools.
• Business mindset.