- Location
- Bangkok, TH
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Breezy HR
Description
Lead Data Engineer
About LINE MAN Wongnai
LINE MAN Wongnai is Thailand’s Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
We are looking for an experienced data lead to develop large and high performance data processing systems to drive our business growth. Working in a fast-paced environment, you will bring your expertise and skills to tackle the challenges that impact millions of people on our journey to become the No.1 food platform in Thailand.
What you will do:
- Design and develop large and high performance data processing systems to drive LINE MAN Wongnai business growth and improve the product experience.
- Lead and oversee data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable.
- Improve data quality to management and governance.
- Evangelize high quality software engineering practices towards building data pipelines and platforms at scale.
- Contribute to shared engineering tooling & standards to improve the productivity and quality of output for engineers across the company
What you will need:
- At least 3-7 years of practical or hands-on experience in Data Engineering or relevant industry
- Excellent problem-solving skills and attention to detail
- Effective communication and collaboration skills
- Knowledge and experience with data quality frameworks (e.g., Great Expectations)
- Working knowledge with both relational and non-relational databases (e.g., MongoDB, MySQL, PostgreSQL)
- Strong proficiency in SQL, Python, and other programming languages commonly used in data engineering
- Extensive hands-on experience with Apache Spark Batch/Real Time and performance tuning
- Proven hands-on experience with Hadoop and familiarity with open table formats
- Experience with Polars and DuckDB (Preferable)
