DATA ENGINEER
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Summary
MST Golf Group is hiring a Data Engineer (Subang Jaya/Kuala Lumpur area) to design and maintain scalable data pipelines, warehouses, and integrations across retail systems such as ERP, POS, e-commerce, inventory, and CRM. Day-to-day work centers on SQL optimization, data quality, infrastructure management, and workflow automation.
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.