DATA ENGINEER

MST Golf Group is seeking a highly organised and detail-oriented Data Engineer to join our team in Subang Jaya, Selangor. As a Data Engineer, you will play a crucial role in building and managing scalable data pipelines that integrate information from various business systems. This full-time position offers the chance to work in a fast-paced, collaborative environment.

Key Responsibilities:

• Design and implement scalable and efficient data architectures to support analytics and business operations.
• Build, develop, and maintain scalable data pipelines, databases, and data warehouse solutions.
• Ensure reliable and efficient data flow to support business intelligence and analytics.

3. Data Integration

• Collect, integrate, and consolidate data from multiple sources such as APIs, databases, and flat files.

4. Data Quality & Reliability

• Ensure data accuracy, consistency, and reliability across data platforms.

5. Performance Optimization

• Optimize SQL queries, storage systems, and data workflows to improve performance and efficiency.

6. Data Infrastructure Management

• Maintain and manage data infrastructure, including backup, recovery, and system availability.

7. Automation & Monitoring

• Automate repetitive data workflows and implement monitoring systems to ensure pipeline reliability and operational stability.
• Collaborate closely with data analysts, commercial teams, and retail teams to understand data requirements and ensure data usability.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related quantitative field.
• Minimum 4 years of experience in data engineering, data platform development, or data warehouse implementation.
• Hands-on experience designing and building data warehouses and production-grade data pipelines.
• Experience integrating data from multiple enterprise systems such as ERP, POS, e-commerce platforms, inventory systems, and CRM systems.
• Strong experience in data modeling for analytics and business reporting.
• Familiarity with data governance, data validation, and monitoring frameworks
• Knowledge of workflow automation for data processing, transformation, and integration.