Data Pipeline Development: They design, construct, and maintain scalable data pipelines that collect, process, and distribute data across systems.
Database Management: They manage databases and data warehouses, ensuring efficient data storage, retrieval, and security. This includes schema design, indexing strategies, and optimizing query performance.
Data Integration: They integrate data from different sources and systems to provide unified views and ensure data consistency
across the organization. This may involve designing APIs, implementing data synchronization processes
Qualifications
Bachelor's degree in Computer Science, Computer Engineer, Data Engineering, or a related field. (A minimum GPA of 2.70 for the Bachelor's degree and 3.30 for the Master's degree.)
Good command of English, with a minimum TOEIC score of 550 or CEFR B1 level. Candidates without a valid English proficiency test score may take the assessment at a later stage.
Experience in data engineering, ETL/ELT development, and data pipeline design.
Strong SQL skills with knowledge of database management and query optimization.
Hands-on experience with GCP and/or Azure data services.
Proficiency in Power BI and containerization tools (e.g., Docker, Kubernetes).
