About LEARN Corporation
LEARN Corporation is Thailand's leader in lifelong-learning EdTech. Guided by our conviction that learning opportunities can improve one's quality of life, we harness technology to design engaging, age-inclusive learning experiences that help people develop new skills, achieve ambitious goals, and pass on good things to othersadvancing Thai society together.
Across 12-plus business unitsincluding OnDemand, Ignite, Skooldio, Learn Satit Pattana School, Crest School, and morewe reach hundreds of thousands of learners every year. Our dream is to serve as a private ministry of education, upgrading education nationwide and preparing every learner for the future.
Join us and shape the next chapter of learning in Thailand.
What You'll Drive
- Design, develop, and maintain ETL (Extract, Transform, Load) pipelines for integrating data from multiple sources (databases, APIs, files, streaming, etc.).
- Writing test scripts to reconcile and validate migration across systems.
- Build and optimize data pipelines.
- Collaborate closely with Data Analysts,
- Manage and optimize data warehouse / data lake platforms (e.g., Databricks, Snowflake, ERP). Experience with Navvision is a plus.
- Ensure data quality, consistency, and accuracy across systems.
- Develop scripts and automation tools to improve workflow efficiency and reduce manual work.
- Monitor, troubleshoot, and resolve issues in data pipelines and related infrastructure.
What You'll Bring
- Bachelor's degree or higher in Computer Science, Information Technology, Data Engineering, or related fields.
- 1-2 years of experience in Data Engineering or ETL development.
- Strong experience in SQL (query optimization, stored procedures, complex joins).
- Hands-on experience with ETL/ELT tools such as Airflow, SSIS, or custom Python scripts.
- Experience working with both relational databases (Databricks, Snowflake)
- Familiarity with at least one cloud platform (AWS, GCP, Azure).
- Knowledge of data warehousing, and data governance.
- Proficiency in Python for data processing and test scripting.
Preferred (Optional)
- Knowledge of data warehouse architectures and performance tuning.
- Familiarity with data migration strategies and large-scale data operations.
- Experience with Edtech
