Python ETL Engineer: Airflow Pipelines & AI Tools

EPAM Systems

Malaysia

On-site

MYR 90,000 - 150,000

Full time

14 days+

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Job summary

EPAM Systems Malaysia seeks a Python Developer to build and support data pipelines for a long-term engineering transformation across Australia and New Zealand. You will work on production-grade ETL workflows, orchestrated with Apache Airflow, to improve reliability and delivery visibility.

The role involves on-call coverage, collaboration with cross-functional teams, and adopting an AI-enabled SDLC using tools like GitHub Copilot. Apply during Hiring Week for an exclusive sign-on bonus.

Qualifications

Hands-on Python delivery of production-grade data pipelines.
Airflow orchestration, scheduling, monitoring and support experience.
ETL/ELT workflows with troubleshooting and performance tuning.
Production incident response and service improvement exposure.
Clear communication with stakeholders and distributed teams.
Familiarity with AI-assisted development tools (e.g., GitHub Copilot).
Experience with Scrum or Kanban delivery practices.
Spec-Driven Development (SDD) and Test-Driven Development (TDD) experience.

Responsibilities

Build and enhance Python-based ETL workflows for data processing and delivery.
Orchestrate and monitor pipelines using Apache Airflow to improve reliability and visibility.
Investigate issues, restore service during incidents and complete root-cause follow-ups.
Deliver KTLO support, maintenance and continuous improvements across multiple applications.
Collaborate with product and engineering stakeholders to clarify priorities and dependencies.
Apply problem-solving to assess change impacts, risks and operational tradeoffs.
Contribute to modern agile delivery within balanced cross-functional teams.
Participate in on-call support coverage as needed to meet operational requirements.