Python Developer (Apache Airflow, ETL)

EPAM Systems; Malaysia; On-site; MYR 90,000 - 160,000; Full time

Job summary

EPAM Systems is seeking a Python Developer (Apache Airflow, ETL) to build and support data pipelines for a long-term engineering transformation program across Australia and New Zealand.

You will improve reliability in production, partner with balanced delivery teams and progressively adopt an AI-enabled SDLC using tools like GitHub Copilot. You will collaborate with product and engineering stakeholders and participate in shift-based support as needed.

Qualifications

• Proficient in Python with production-grade pipelines.
• Experience with Apache Airflow for orchestration and monitoring.
• ETL/ELT workflows experience including backfills and performance tuning.
• Managed services or production support exposure including incident response and service improvement.
• Clear communication for working with stakeholders and distributed teams.

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.

Skills

Strong communication

Scrum/Kanban experience

Problem solving

Java exposure

Tools

Python

Apache Airflow

GitHub Copilot

ETL tooling

Job description

We are seeking a Python Developer (Apache Airflow, ETL) . You will build and support data pipelines for a long‑term engineering transformation program covering Australia and New Zealand. You will improve reliability in production, partner with balanced delivery teams and progressively adopt an AI‑enabled SDLC using tools like GitHub Copilot.

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 shift‑based support coverage as needed to meet operational requirements

Requirements

• Python proficiency with hands‑on delivery of production‑grade services or pipelines
• Apache Airflow capability for orchestration, scheduling, monitoring and support
• ETL/ELT workflow experience including troubleshooting, reruns, backfills and performance tuning
• Managed services or production support exposure including incident response and service improvement
• Clear communication for working with stakeholders and distributed teams
• Adaptability to context switch across applications and competing operational priorities
• Nice to have Java exposure as a secondary skill
• Familiarity with AI‑assisted development tools such as GitHub Copilot
• Experience working with Scrum or Kanban delivery practices