Apr 2, 2025

Data Engineer

Location

Bang Kapi, Bangkok

Salary

Based on company’s structure

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Job Descriptions

Job Responsibilities : - Design, develop, and maintain ETL/ELT pipelines using Apache Airflow and other relevant tools. - Build and optimize data ingestion workflows from various sources on Cloud and relational databases. - Implement data transformations and processing pipelines to ensure high-quality data for analytics and machine learning. - Work with streaming data processing frameworks like Kafka. - Optimize data warehouse performance, partitioning, and indexing strategies. - Implement and enforce data governance, security, and compliance best practices. - Monitor and troubleshoot data pipelines, ensuring high availability and reliability. - Collaborate with software engineers and DevOps teams to integrate data workflows into CI/CD pipelines. - Document data workflows, pipelines, and system architecture for maintainability and scalability.

Qualifications

Bachelor’s degree or above in the field of Computer Science/Software Engineer or Related
Minimum 3 years of working experience and strong understanding of data engineering concepts in data engineering.
Expertise in Data management and data governance skills.
Experience with data processing, ETL and workflow and messaging queue like Kafka.
Strong Data Analytics skills.
Hands-on experience with data pipeline and workflow management tools such as Airflow.
In-depth knowledge of data engineering principles and industry is the best practice.