About the Client
Our client is one of Southeast Asia's leading technology companies, operating multiple large-scale digital platforms. Serving hundreds of millions of users across the region, the company processes massive volumes of data every day and is continuously investing in its data infrastructure to support business growth and innovation.
This is an opportunity to join a highly collaborative engineering team where you'll work on large-scale data platforms, solve complex data engineering challenges, and build systems that power business-critical analytics and decision-making across multiple business domains.
About the Team
The team develops and maintains large-scale data pipelines, data warehouses, and internal data products that enable reliable reporting, analytics, and data-driven decision making across the organization. Working closely with data analysts, platform engineers, and business stakeholders, you'll help design modern data infrastructure that processes high-volume datasets efficiently and reliably.
Data Engineer
What You'll Do
- Design, develop, and maintain scalable ETL/ELT pipelines that process large volumes of data from multiple products and business domains.
- Build and optimize data warehouse models to support enterprise reporting and analytics.
- Develop robust data processing jobs using modern big data technologies.
- Investigate performance bottlenecks, identify root causes, and continuously optimize data pipelines.
- Collaborate with analysts and business stakeholders to understand data requirements and translate them into scalable engineering solutions.
- Work closely with platform engineers to improve data infrastructure, internal frameworks, and platform capabilities.
- Ensure high standards for code quality, documentation, data governance, and operational excellence.
What We're Looking For
- Bachelor's degree in Computer Science, Mathematics, Business Analytics, or a related field.
- Strong programming skills in Python, Scala, or Java.
- Hands-on experience with one or more big data technologies such as PySpark, Hadoop, or Flink.
- Good understanding of ETL pipelines, data warehousing, and distributed data processing.
- Comfortable working in Linux environments with Shell scripting.
- Experience with Git or modern version control systems is a plus.
- Strong problem-solving skills with a passion for building scalable data systems.
- Self-driven, proactive, and able to take ownership in a fast-paced engineering environment.
- Strong communication and collaboration skills.
Why This Opportunity
- Build data platforms that support products used by millions of users across Southeast Asia.
- Work with modern data engineering technologies and large-scale distributed systems.
- Solve challenging data infrastructure and performance optimization problems.
- Collaborate with experienced engineers in a high-impact, fast-growing technology environment.
- Gain exposure to enterprise-scale data architecture, analytics platforms, and cloud-native engineering practices.
AIM Global Talent Pte. Ltd. | EA Licence No. 25C3207