Location

Corsair - Ho Chi Minh city

Position

Data Engineer

Description

  • Collaborated cross-functionally to gather business requirements and deliver AI-driven analytics solutions
  • Built and operated end-to-end data pipelines (Docker, Dagster, dbt/Spark, Snowflake/Fabric) on AWS EC2, following Kimball dimensional modeling principles, with Power BI as the reporting layer
  • Developed backend services (FastAPI) and MCP servers (FastMCP) using Python for AI-driven applications
  • Implemented monitoring and data quality using Grafana, Elementary
  • Optimized pipelines, reducing processing time by ~70% (from 6h to <2h) via model refactoring, clustering, and warehouse tuning
  • Highlighted Project: Sentiment Analysis
    • Built data pipeline for Zendesk, Amazon, Reddit data
    • Developed AI chatbot (LangGraph, FastAPI, Postgres)
    • Designed LLM workflows for classification, summarization, sentiment scoring
  • Highlighted Project: Corsair Marketing Intelligence Solution
    • Integrated multi-source data (POS, Keepa, Stackline)
    • Engineered features for XGBoost models forecasting market share for Corsair and competitors
    • Replaced external solution, saved ~$100K/year
  • Highlighted Project: cData Replacement Initiative
    • Replaced third-party ingestion with internal pipelines
    • Migrated multiple data sources (Shopify, Paypal, Google Analytics) with no business disruption
    • Reduced platform cost by ~$20K/year
  • Highlighted Project: Corsair CDP MCP Server
    • Architected the MCP server connecting Claude to 10+ live data sources via direct API
    • Integrated the semantic layer into the MCP server architecture
    • Engineered two-layer skill system: platform skills (how to query each source) + analytics skills (what analysis to apply)
    • Secured via Azure Entra ID, Key Vault, and Managed Identity

Skills

  • Coding language: Python, SQL, JavaScript, TypeScript
  • Database: PostgreSQL, Redis, Oracle
  • Data Warehouse: Snowflake, Microsoft Fabric, Google BigQuery
  • API: REST, GraphQL, Webhook
  • ETL Tools: Orchestration (Dagster), Intergration (Airbyte), Transformations (dbt, Spark)
  • AI techniques: LLMs, LangGraph, MCP, RAG, Prompt engineering
  • Framework: FastAPI, FastMCP, Streamlit
  • BI Tools: Power BI
  • Monitoring: Grafana, Elementary
  • Others: Docker, Linux, Git, Postman, AWS, Jira, Excel
  • Soft skills: Agile - Scrum