全职 DATA ENGINEER 工作, 薪水, MST Golf Group Berhad Federal Territory 公司招聘中 - Ricebowl

About the role

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:

1. Design Data Architecture

• Design and implement scalable and efficient data architectures to support analytics and business operations.

2. Data Pipeline Development

• 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.
• Implement data validation, error detection, and resolution processes.

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.

8. Collaboration

• Collaborate closely with data analysts, commercial teams, and retail teams to understand data requirements and ensure data usability.

Requirements:

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