Senior Data Engineer - Pipeline & MLOps Leader

EPAM Systems

Argentina

Presencial

ARS 2.000.000 - 3.500.000

Jornada completa

hace 41 horas
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Ventajas ofrecidas por este puesto de trabajo

International projects with top brands
Healthcare benefits
Paid time off and sick leave
Upskilling, reskilling and certific atอ
LinkedIn Learning access

Descripción de la vacante

EPAM Systems is seeking a Senior Data Engineer to lead the design, development, and maintenance of data and ML pipelines on the Domino Data Lab platform. The role focuses on data engineering and MLOps, building reliable pipelines, managing model lifecycles, and ensuring secure, scalable data and compute infrastructure.

You will work with data scientists and engineers to meet infrastructure requirements, promote best practices, and automate testing and deployment to improve reliability.

Formación

  • At least 3 years of relevant experience.
  • Expert-level Python for data engineering and pipeline development.
  • Strong SQL skills across relational and warehouse systems.
  • Proficient with the Domino Data Lab platform components (Data Sources, Datasets, Environments, Projects, Jobs, Flows).
  • Experience designing, building, and maintaining ETL/ELT pipelines.
  • Hands-on Kubernetes and cloud services (EKS/AKS/GKE).
  • CI/CD pipelines with Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.

Responsabilidades

  • Build and sustain dependable data pipelines powering analytics and ML workloads.
  • Manage full lifecycle of data workflows: ingestion, transformation, delivery.
  • Oversee 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 data workflows.

Conocimientos

Python
SQL
R and Bash
Cloud awareness
English proficiency

Herramientas

Docker
Kubernetes
Jenkins
GitLab CI
GitHub Actions
Azure DevOps
MLflow
Kubeflow
Airflow
Domino Flows
Domino Nexus

Descripción del empleo

EPAM Systems is seeking a Senior Data Engineer to lead the design, development, and maintenance of data and ML pipelines on the Domino Data Lab platform. The role focuses on data engineering and MLOps, building reliable pipelines, managing model lifecycles, and ensuring secure, scalable data and compute infrastructure.

You will work with data scientists and engineers to meet infrastructure requirements, promote best practices, and automate testing and deployment to improve reliability.

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