Junior Data Integration Engineer

EPAM Systems; Malaysia; On-site; MYR 60,000 - 90,000; Full time

Job summary

EPAM Systems in Malaysia is 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.

You will contribute to ETL processes, collaborate with engineers and stakeholders, and help ensure data reliability and delivery performance in a dynamic

Qualifications

• 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 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.

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.

Skills

Python

SQL

ETL

SDLC

Agile

Tools

Apache Airflow

CI/CD tooling

Git

Docker

Job description

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)