Back to SearchJunior Data Integration Engineer
Hybrid in Malaysia: Kuala Lumpur
Data Integration& 3 others
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We are seeking a Junior Data Engineer (Data Integration) to help build and support reliable data pipelines using Python and SQL. You will work with a team that values clean code, practical delivery and steady learning as you troubleshoot data issues and grow your skills across ETL, CI/CD and cloud-ready engineering.
Responsibilities
- Build and maintain data pipelines and ETL workflows using Python and SQL
- Troubleshoot data issues, identify root causes and implement fixes
- Write clean, well-documented code and follow engineering best practices
- Support releases by using tools and practices like version control, CI/CD and containerization
- Collaborate with engineers and stakeholders to understand data needs and delivery priorities
- Monitor pipeline performance and improve reliability and efficiency
- Keep up with new data engineering practices and apply learnings to day-to-day work
Requirements
- Hands-on experience using Python for data processing or automation
- Strong SQL skills including joins, aggregations and query optimization basics
- Understanding of ETL concepts and how data moves across systems
- Knowledge of software development lifecycle (SDLC) approaches such as Agile or Waterfall
- Problem-solving skills with attention to detail when working with data quality issues
- Clear communication when explaining issues, progress and tradeoffs
- Ability to learn quickly and adopt new tools and ways of working
Nice to have
- Exposure to data warehousing concepts and dimensional modeling basics
- Familiarity with orchestration tools used for scheduling and integration (for example, Apache Airflow)
- Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure or Google Cloud Platform (GCP)