EPAM

Tóm tắt công việc

We are seeking a Lead Data Engineer (Python, Kubernetes, Snowflake) to own reliable data pipelines and production platforms across Cloud and on-prem. You will deploy and run data and ML workloads on OpenShift, improve CI/CD, troubleshoot complex issues and guide engineering teams as we scale an enterprise analytics and ML platform.

Responsibilities:

• Design, build and maintain scalable data pipelines and platform components using Snowflake, Apache Spark (PySpark), SQL and Apache Airflow
• Deploy, operate and support data and ML workloads on Kubernetes and OpenShift in production
• Develop and maintain Python services and APIs using FastAPI or similar frameworks
• Monitor, troubleshoot and optimize performance, reliability and data quality across pipelines and platforms
• Build and improve continuous integration and continuous delivery (CI/CD) pipelines for safe, repeatable releases
• Partner with DevOps, Platform, ML, infrastructure and application teams to deliver production-ready solutions
• Drive root cause analysis for complex incidents and define preventative fixes and operational best practices
• Provide technical leadership through architecture decisions, reviews and mentoring

• By choosing EPAM Vietnam, you're getting a job at a Vietnam Best Workplace™ certified company (2022-23 and 2023-24)
• You'll work with the latest and most advanced technologies on exciting global projects with a supportive multicultural team where your voice matters
• We prioritize a healthy work-life balance with a flexible hybrid working model and generous annual leave of up to 19 days.
• We offer a transparent career path and an individual roadmap to engineer your future and accelerate your journey
• Our commitment is to the well-being of our employees and their families by offering premium healthcare insurance for employees and 2 dependents, annual health checkup and 10 days of paid sick leave
• At EPAM, you can find vast opportunities for self-development: access to over 25,000 online courses and libraries from industry leaders, English classes, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us. 

Requirements:

• 7+ year of experience in data engineering and enterprise-scale data platform delivery
• Hands-on expertise with Snowflake, Apache Spark (PySpark), SQL and Apache Airflow
• Strong Python development capability, including building services or APIs
• Production experience operating workloads on Kubernetes or Red Hat OpenShift
• Solid background in continuous integration and continuous delivery (CI/CD), Git workflows, containers and deployment automation
• Experience supporting solutions across Microsoft Azure and hybrid cloud environments
• Strength in monitoring, troubleshooting and production support for distributed systems
• Track record of technical ownership, clear communication and mentoring within engineering teams

Nice to have:

• Experience with FastAPI, Databricks or Splunk
• Exposure to MLOps practices, ML platform operations or LLM and GenAI enablement platforms
• Infrastructure as Code experience (tooling aligned to your environment)