Data Engineer

SNSoft Sdn Bhd; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

Job summary

A leading technology company in Kuala Lumpur is seeking a motivated Data Engineer to join their team. You will design, develop, and maintain data pipelines while ensuring data quality and reliability. Ideal candidates will have 1-3+ years' experience in data engineering, proficient in Python and SQL, and able to work in a collaborative environment. This role offers the opportunity to work with cutting-edge technology in the gaming sector with benefits such as medical insurance and project incentives.

Benefits

13th Month Salary (upon Company Declaration)

Project Incentive (based on performance)

Sports Activities (Badminton & Basketball)

Training and certification sponsored by company

Long Service Award / Best Performer Award

Qualifications

• 1–3+ years of experience in data engineering, analytics engineering, or a related role.
• Working knowledge of data pipeline development, ETL/ELT processes.
• Experience with relational databases like PostgreSQL or MySQL.

Responsibilities

• Design and maintain data pipelines for data processing and analysis.
• Improve existing pipelines ensuring performance and reliability.
• Collaborate with data teams to support data needs and accessibility.

Skills

Data pipeline development

ETL/ELT processes

Python

SQL

Problem-solving skills

Collaboration

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems

Tools

PostgreSQL

MySQL

Cloud platforms (AWS, GCP, Azure)

Workflow orchestration tools (Airflow, Prefect)

Data warehousing solutions (BigQuery, Redshift, Snowflake)

Version control systems (Git)

Job description

Benefits

• 13th Months Salary (upon Company Declaration)
• Project Incentive (upon Company Declaration based on project performance)
• Sports Activities (Badminton & Basketball), Company Outing
• Training and certification sponsored by company (Selected employees).
• Rewards and recognition: Long Service Award / Best Performer Award / Role Model Awards etc
• Medical Insurance (upon Confirmation)
• Optical, Dental, Body Check Up Claim (upon Confirmation)

Job Description

We are looking for a motivated and experienced Data Engineer to join our growing team. In this role, you will contribute to the design, development, and maintenance of our data infrastructure, helping ensure reliable, scalable, and high-quality data pipelines. This position is ideal for candidates who already have some hands-on experience in data engineering and are eager to grow their technical depth in a collaborative, fast-paced environment. A passion for gaming and data-driven decision-making is a strong plus.

Key Responsibilities

• Design, build, and maintain data pipelines for data collection, storage, processing, and analysis.
• Improve and optimize existing pipelines to ensure performance, scalability, and reliability.
• Implement best practices for data quality, security, and error handling.

Data Warehouse and Database Management

• Design, develop, and maintain data warehouses to support ETL/ELT processes based on business, analyst, or data science requirements.
• Manage, optimize, and troubleshoot SQL and NoSQL database systems.
• Write efficient, maintainable queries and data models to support analytics and reporting.

Data Integration and Collaboration

• Integrate data from multiple internal and external sources while ensuring consistency and accuracy.
• Collaborate with data analysts, data scientists, and product teams to understand data needs and improve data accessibility.
• Support query performance optimization and data exploration use cases.

Automation and Monitoring

• Automate data processing and validation workflows.
• Monitor data pipelines and systems, identify issues, and proactively resolve data quality or performance problems.
• Contribute to documentation and knowledge sharing around data systems and processes.

Qualifications Required

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 1–3+ years of experience in data engineering, analytics engineering, or a related role (relevant internships, co-ops, or projects count).
• Working knowledge of data pipeline development, ETL/ELT processes, and basic data architecture concepts.
• Proficiency in Python and SQL.
• Experience working with relational databases (e.g., PostgreSQL, MySQL, or similar).
• Strong problem-solving skills and attention to detail.
• Ability to collaborate effectively in a team environment and adapt to evolving requirements.

Preferred / Nice to Have

• Experience with cloud platforms (e.g., AWS, GCP, or Azure).
• Familiarity with workflow orchestration tools (e.g., Airflow, Prefect, or similar).
• Exposure to data warehousing solutions (e.g., BigQuery, Redshift, Snowflake).
• Basic knowledge of version control systems (e.g., Git).
• Experience supporting analytics or data science teams.