Data Engineer
Salary: ฿35,000 – ฿50,000 per month
Data Engineer
Help build reliable data solutions that support analytics, reporting, and smarter business decisions.
We are looking for a Data Engineer with strong Python expertise to design, build, and maintain data solutions that enable business intelligence and analytics.
This role is ideal for someone who enjoys working across data pipelines, transformation workflows, and cloud-based platforms to deliver scalable and dependable data products.
Key Responsibilities
Design, develop, and maintain data pipelines that ingest, transform, and store data from multiple sources, including APIs, SFTP, and databases
Build and manage ETL/ELT workflows for batch processing and analytics use cases
Process structured and semi-structured data using Python tools such as Pandas and PySpark
Implement data validation, quality checks, and error handling to ensure reliable and accurate delivery
Support the design and management of data models, warehouses, and lakehouse solutions
Partner with Data Analysts, Business Analysts, and stakeholders to understand requirements and deliver effective data solutions
Monitor pipeline performance, troubleshoot issues, and optimize processing efficiency
Contribute to scalable cloud-based data solutions across platforms such as Azure, AWS, or GCP
Required Skills and Experience
Proficiency in Python for data processing
Hands-on experience with libraries such as Pandas, NumPy, and/or PySpark
Strong knowledge of SQL and NoSQL databases
Understanding of data modeling and database design for both relational and non-relational systems
Experience with cloud data services, with preference for Azure
Familiarity with Azure Data Factory, Azure Synapse, and Microsoft Fabric
Knowledge of data validation, monitoring, troubleshooting, and performance optimization
Experience with Git and collaborative development practices
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
2–5 years of experience in Data Engineering or a related role
Strong analytical thinking, problem-solving ability, and a collaborative mindset
What Success Looks Like
In this role, you will help create reliable data foundations that improve reporting, analytics, and decision-making across the business. You will work closely with cross-functional teams and contribute to solutions that are accurate, scalable, and built for long-term use.
Core Technologies
Python, Pandas, NumPy, PySpark, SQL, NoSQL, Azure Data Factory, Azure Synapse, Microsoft Fabric, Git