2 months ago
Ho Chi Minh City, VietnamMid Level
Responsibilities
- Design, build, and maintain production-grade dimensional data models in Google BigQuery using dbt.
- Own and evolve semantic layers across BI platforms and AI agent endpoints, including metric versioning, deprecation policies, and canonical definitions.
- Optimize BigQuery performance, cost, partitioning, clustering, incremental builds, freshness SLAs, and anomaly monitoring.
- Build MCP tools, schemas, prompts, guardrails, and execution flows for AI-agent-powered business insights.
- Create automated data quality, schema validation, integrity, monitoring, alerting, and AI-agent evaluation frameworks.
- Maintain data catalogs, business glossaries, metadata, ownership attributes, lineage, access controls, data stewardship, and PII masking.
- Collaborate with data engineers and business stakeholders to improve ingestion contracts, event schemas, warehouse performance, documentation, and self-service analytics.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related quantitative discipline, or equivalent practical experience.
- At least 3 years of experience in Analytics Engineering, Data Engineering, or Advanced Data Analytics.
- Advanced SQL and dimensional data modeling expertise, including Kimball methodology and star/snowflake schemas.
- Production experience with dbt Core or dbt Cloud for transformation, testing, documentation, and semantic-layer modeling.
- Experience governing centralized semantic layers or metric stores, including versioning, deprecation handling, and performance tuning.
- Strong knowledge of cloud data warehouses, preferably Google Cloud BigQuery.
- Proficiency in Python for scripting, workflow automation, and API or data-service integration.
- Experience with Git, version control, automated testing, and CI/CD pipelines.
- Experience with data governance, data catalogs, metadata management, and data lineage tools.
- Fluent English and strong written and verbal communication skills for explaining complex data architecture to non-technical stakeholders.
- Preferred experience in mobile gaming, adtech, mobile applications, player telemetry, event design, or game analytics.
- Preferred exposure to Model Context Protocol, LLM APIs, AI agent frameworks, Apache Airflow, Google Cloud Composer, Metabase, Tableau, or Looker.
Benefits
- Learning budgets, coaching, and stretch opportunities.
- Creative and dynamic workplace culture with opportunities to play, share, and thrive.
- Work-life harmony-focused culture.
- Competitive benefits and clear development paths.
About Amanotes
Amanotes makes mobile music and rhythm games for casual players, publishing titles like Magic Tiles 3, Tiles Hop, and Dancing Road on iOS and Android. It operates a free-to-play model monetized through ads and in-app purchases and also builds playable ads to showcase its games. Founded in 2014 and privately held, the company is headquartered in Ho Chi Minh City, Vietnam, with billions of cumulative downloads across a catalog of 30+ apps.