Database Engineer

VMM Holdings; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading database solutions provider in Kuala Lumpur is seeking a skilled Database Engineer to build and maintain high-performing databases. The role involves designing and optimizing databases for seamless data access, collaborating with stakeholders, and ensuring data security. Ideal candidates have 3-5 years of experience, a Bachelor's in Computer Science, and proficiency in SQL. Benefits include meal allowances, annual leave, and cash gifts on birthdays.

Benefits

Fixed meal allowance

14 days Annual Leave

Complimentary Leave for Public Holidays

Birthday Cash Gift

Qualifications

• Minimum 3-5 years of hands-on experience in database engineering, data warehousing, or related roles.
• Proficiency in working with relational database systems.
• Strong understanding of ETL processes and tools.

Responsibilities

• Design, build, and maintain scalable data warehouse solutions.
• Create and manage relational databases that support business objectives.
• Monitor and optimize database performance.

Skills

Database engineering

SQL proficiency

Data warehousing

ETL processes

Python proficiency

Collaboration skills

Analytical skills

Troubleshooting skills

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Google Cloud

Azure

MySQL

PostgreSQL

SQL Server

Oracle

Amazon Redshift

Snowflake

Google Big Query

Job description

Job Overview

We are seeking a skilled and experienced Database Engineer to help build and maintain high-performing databases for our company.

The ideal candidate will be responsible for designing, developing and optimizing databases to ensure seamless data access for the company. You will play a key role in organizing and structuring data while optimizing performance, ensuring data security, and collaborating with other stakeholders to drive business.

Key Responsibilities

• Data Warehouse Development: Design, build, and maintain scalable and efficient data warehouse solutions, ensuring the system can meet current and future data needs.
• Database Design & Architecture: Create and manage relational databases and data models that support analytical and reporting requirements, aligning with business objectives.
• Performance Optimization: Regularly monitor and optimize database performance, ensuring high availability, stability, and efficient data access for reporting purposes.
• Data Integration: Manage ETL (Extract, Transform, Load) processes to integrate data from multiple sources into the data warehouse.
• Database Security: Ensure the integrity, availability, and security of databases, implementing best practices for backup, recovery, and user access management.
• Collaboration with Data Analysts: Work closely with data analysts and BI teams to understand their reporting and data needs and ensure databases are structured in a way that supports efficient data extraction and analysis.
• Troubleshooting & Maintenance: Identify and resolve database‑related issues, including bottlenecks, errors, and failures in data processing workflows.
• Documentation: Maintain clear and detailed documentation of database architectures, schemas, and processes.

Requirements

• Bachelor's degree in Computer Science or related field
• Mandarin‑speaking due to work associates
• Familiarity with cloud‑based data storage and processing solutions (e.g., AWS, Google Cloud, Azure)
• Experience in designing and implementing automated database maintenance and optimization processes
• Knowledge of data governance, compliance and security best practices
• Minimum 3‑5 years of hands‑on experience in database engineering, data warehousing, or related roles
• Proficiency in working with relational database systems (e.g., MySQL, PostgreSQL, SQL Server, Oracle, etc.) and knowledge of NoSQL databases is a plus
• Experience with data warehousing tools such as Amazon Redshift, Snowflake, or Google Big Query
• Strong understanding of ETL processes and tools (e.g., Apache NiFi, Talend, Informatica, etc.)
• Proven experience in optimizing database queries and overall database performance
• Proficiency in SQL, Python, and database management tools
• Strong analytical and troubleshooting skills with the ability to resolve data‑related issues efficiently
• Ability to communicate technical concepts effectively to non‑technical stakeholders
• A team player who can collaborate with analysts, engineers, and business leaders

Benefits

• Fixed meal allowance on top basic salary
• 14 days Annual Leave entitlement
• Complimentary Leave for Public Holiday which falls on Saturdays
• Birthday Cash Gift credited to your bank account on your birthday month