Lead Data Engineer – Pipelines & MLOps

EPAM Systems; Colombia; Presencial; COP 120.000.000 - 210.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Upskilling & certification

Descripción de la vacante

EPAM Systems is seeking a Senior Data Engineer to lead design, development, and maintenance of data pipelines and ML workflows on the Domino Data Lab platform. You will focus on data engineering and MLOps, building reliable pipelines, and ensuring secure, efficient data and compute infrastructure.

The role collaborates with data scientists and engineers, emphasizes best practices, automation, and continuous improvement of internal tools and processes across international teams.

Formación

• 3+ years of relevant experience.
• Strong hands-on with Domino Data Lab platform and end-to-end pipelines.
• Expert-level Python for data engineering and pipelines.
• Strong SQL for data extraction and transformation.
• Experience with R and Bash in data science tooling.
• ETL/ELT pipeline design, ingestion, transformation, validation, orchestration.
• Kubernetes with EKS/AKS/GKE and deploying data/ML workloads.
• Docker for container images in data/ML workloads.
• CI/CD pipelines with Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
• Experience with AWS/Azure/GCP cloud platforms and data architectures.
• Proficient English (B2+).

Responsabilidades

• Build and maintain dependable data pipelines for analytics and ML workloads.
• Oversee full data workflow lifecycle: ingestion, transformation, delivery.
• Manage compute infrastructure for efficient, secure platform operations.
• Diagnose and resolve pipeline performance and data quality issues.
• Collaborate with data scientists and engineers to meet tooling needs.
• Define best practices for platform usage and pipeline design.
• Automate testing and deployment to improve reliability.
• Monitor pipeline health and preempt failures and bottlenecks.
• Contribute to internal tooling and process improvements for data ops.
• Document designs, workflows, and configurations for team knowledge sharing.

Conocimientos

Python

SQL

Bash

R

Docker

Kubernetes

CI/CD

AWS

Azure

GCP

English (B2+)

Herramientas

Domino Data Lab

Jenkins

GitLab CI

GitHub Actions

Azure DevOps

Kubeflow

Descripción del empleo

EPAM Systems is seeking a Senior Data Engineer to lead design, development, and maintenance of data pipelines and ML workflows on the Domino Data Lab platform. You will focus on data engineering and MLOps, building reliable pipelines, and ensuring secure, efficient data and compute infrastructure.

The role collaborates with data scientists and engineers, emphasizes best practices, automation, and continuous improvement of internal tools and processes across international teams.