Gấp

Senior Analytics Engineer - AI & Data Modeling

Engineering Airflow SQL Data Warehousing Data Engineer SPARK

Icon company Công ty

VireoX

Icon salary Lương GROSS
Thương lượng
Icon Location Vị trí
Ho Chi Minh
Icon Vacancies Số lượng còn trống
1 person(s)

Phúc lợi

Lương tháng 13 Lương tháng 13
Cấp laptop Cấp laptop
Phúc lợi khác Phúc lợi khác
- Attractive cash salary with upside potential from equity - Fast-moving product-culture - Work in an AI first environment
Cho phép làm tại nhà Cho phép làm tại nhà
1 day WFH/week

Tổng quan về công việc và trách nhiệm

About the Role We're looking for a Senior Analytics Engineer to build the data foundations that power AI-driven business intelligence. You'll design semantic layers, metrics frameworks, and data models that enable both business users and AI systems to extract insights from production data. This role combines traditional analytics engineering (dbt, SQL, data modeling) with emerging AI capabilities (LLM integration, natural language analytics). You'll work at the intersection of data engineering, business intelligence, and AI—building the intelligent data layer that makes complex analytics accessible through natural language. If you love building clean data models and want to explore how AI can transform how people interact with data, this role is for you. - Design and maintain analytical data models and transformations using dbt, SQL, and modern data stack tools - Build semantic layers (metrics, dimensions, business definitions) that translate raw data into business concepts - Create metrics frameworks and dimensional models (star schemas, fact tables, dimension tables) - Integrate semantic layers with LLM-powered analytics agents for natural language querying - Develop metadata retrieval systems that ground AI reasoning in your data models - Collaborate with AI/ML teams to evolve analytics capabilities into intelligent, multi-step workflows - Ensure data quality, lineage, and governance across analytical datasets

Kỹ năng và kinh nghiệm tối thiểu

- 4+ years experience in data engineering or analytics engineering with strong data modeling focus - Can translate business requirements into maintainable data models - Advanced SQL - complex queries, optimization, analytical schema design - Hands-on dbt experience (or similar: Spark, Airflow, Dagster) - Strong understanding of dimensional modeling (star schema, fact/dimension tables, SCDs) - Experience building semantic layers, metrics frameworks, or BI data models - Worked with modern data warehouses (Snowflake, BigQuery, Databricks, Redshift)

Tại sao ứng viên nên làm ở đây

- Competitive package - Hybrid working model - Macbook Pro provided for work - Bonus: 13th month salary - Weekly learning sessions and offsites - Close-knit small team culture

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