1. Collecting, Managing, and Transforming Raw Data - Use systematic approach to plan, create, and maintain data architecture aligning with business requirements - Design or participate in data model design - Understand business requirements and translate them into design documents from data ingestion to data modeling - Identify hidden patterns from stored data - Transform legacy data to robust and informative data 2. Technical Problems / Issues Management - Resolve technical problems/issues - Develop agile documentation and improve current processes 3. Self-Development - Attend relevant training - Achieve minimum scoring of Annual Regulatory Seminar - Regular knowledge sharing and learning outcome1. Education and License Requirements - Essential: Bachelor's Degree in Computer Science or equivalent experience 2. Experience - Essential: At least 3 years experience in Data Engineering (e.g., Data modeling, data pipeline, data architecture, ETL) - Experience in RDMS DB - MS SQL Server - Experience utilizing Cloudera - Strong SQL skillset, added advantage with Impala SQL language - Knowledge of data modeling and understanding of different data structures and their benefits and limitations - Strong interpersonal, conflict resolution, and negotiation skills- Competitive Salary: 2000$ - 5000$ (based on seniority) - Social and Health Insurance: Social insurance, health insurance, and unemployment insurance as regulated by the government. - Training and Development: Access to complimentary in-house training with experienced instructors. Support for external training programs. Policies that promote learning activities, knowledge exchange, and sharing.