Data Engineer

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• By applying to any position at Amanotes, you acknowledge and agree that your personal data will be collected and processed for recruitment-related purposes. Please read the "Consent Notice for Personal Data Processing" carefully before submitting your application.
• Thank you for your interest in joining Amanotes.

About Amanotes

We are Amanotes – a dynamic music game company that's using cutting-edge technology to transform how people experience music.

Since 2014, we've led the global simple music game market with over 3.5 billion downloads across 190+ countries, including chart-topping titles like Magic Tiles 3, Tiles Hop, Dancing Road, and Duet Cats.

As the #1 Music Game Publisher worldwide and the #1 App Publisher from Southeast Asia by downloads, our ambition is clear: to create iconic, hybrid-casual music games that people love and play for years.

What truly sets Amanotes apart is not just what we build — it's how we grow and who we grow with:

🎓 We invest in your growth through learning budgets, coaching, and stretch opportunities.

🎶 We embrace a creative and dynamic culture, where everyone can play, share, and thrive.

🧘 We believe in work-life harmony — your rhythm matters here.

🏆 We recognize and reward impact, with competitive benefits and clear development paths.

Come join our music-filled workplace, where innovation meets rhythm — and let's create a magical music experience together.

Amanotes – Where Everyone Can Music.

How To Apply?

Click the button or contact us at talents@amanotes.com.

• 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

• Build the Foundation: Design, develop, and maintain robust, scalable ETL/ELT pipelines and modern Data Lake/Warehouse architectures.

• Drive Automation: Streamline and automate data workflows to improve data reliability and operational efficiency.

• Prepare for the Future: Modernize and scale our data infrastructure to support advanced AI and machine learning initiatives.

• Deliver Data Products: Collaborate closely with stakeholders and cross-functional teams to build impactful data-driven solutions, such as anomaly detection systems and A/B test analyzers.

• 3-4+ years hands-on experience deploying production quality code

• Core Stack: Strong proficiency in Python, SQL, Apache Airflow, and dbt.

• Data Warehousing: Deep understanding of analytical Data Warehouses, with a strong preference for Google BigQuery.

• Data Architecture: Solid grasp of data modeling methodologies (e.g., Kimball, Inmon).

• Cloud & Infra: Hands-on experience with major cloud platforms (GCP, AWS, or Azure) and comfort navigating Linux environments and Git.

• Reporting: Experience integrating with and preparing data for BI and visualization tools.

• Real-Time Data: Experience with streaming ETL processes and tools (Kafka, Apache Spark, Google Pub/Sub).

• DevOps/DataOps: Experience building CI/CD pipelines for data processes (GitLab, GitHub, Bitbucket).

• Ecosystem Knowledge: A broad understanding of the modern data and artificial intelligence landscapes.

• Business Acumen: A strong business mindset with the ability to connect technical data solutions to company goals.

• Extended Tech: Experience with alternative orchestration tools (Dagster, Prefect) or frontend frameworks (JavaScript/ReactJS) for internal tooling.