[Hiring Week] Senior Python Developer (Apache Airflow, ETL)

EPAM Systems

Malaysia

On-site

MYR 120,000 - 240,000

Full time

6 days ago
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Job summary

EPAM Systems seeks a Senior Python Engineer for a production support/managed services role within a long-term engineering transformation program covering Australia and New Zealand. You will develop, enhance and maintain Python-based applications and Airflow workflows, orchestrating pipelines to boost reliability and visibility.

You will respond to incidents, provide KTLO maintenance, and collaborate with stakeholders to balance priorities and risks while contributing to agile delivery and

Qualifications

  • Python proficiency with hands-on delivery of production-grade services or pipelines.
  • Strong independent coding capability; able to write, evaluate and troubleshoot code without reliance on AI.
  • Hands-on Apache Airflow experience including development, orchestration and production support.
  • 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.

Responsibilities

  • Develop, enhance and maintain Python-based applications and workflows, including solutions using Apache Airflow.
  • 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.

Skills

Python
Airflow
Production-grade services
Troubleshooting
Communication
On-call support

Tools

GitHub Copilot
AWS

Job description

We are seeking a Senior Python Engineer for a production support/managed services role within a long-term engineering transformation program covering Australia and New Zealand.

Responsibilities
  • Develop, enhance and maintain Python-based applications and workflows, including solutions using Apache Airflow
  • 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
Requirements
  • Python proficiency with hands-on delivery of production-grade services or pipelines
  • Strong independent coding capability: while we encourage using AI tools for productivity, you must be able to write, evaluate and troubleshoot code autonomously rather than relying on AI to generate solutions
  • Hands-on Apache Airflow experience, including development, orchestration, troubleshooting and production support of workflows
  • 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
  • AWS exposure is a plus
  • Familiarity with AI-assisted development tools such as GitHub Copilot
  • Experience working with Scrum or Kanban delivery practices
  • Spec-Driven Development (SDD) and Test-Driven Development (TDD) experience
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