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.
At Amanotes, you will be enjoying the dynamic working environment with unique music culture many benefits as below:
Competitive salary upon experience
13th month salary
Flexible working time.
Personal learning and well-being budget
Team-building budget
Lunch and parking allowance
Various learning activities, including internal training & sharing, international conferences, and e-learning (Udemy, Linkedin Learning...).
Engaging music events: Music Night, Amasing Night, Music schools…
Employee Assistance Program to support mental health & well-being.
Minimum 12 days of paid annual leave, plus 10 days of paid sick leave.
12 days working from home per year.
Data Engineer