Senior Data Engineer: Pipelines & ML Infrastructure

EPAM Systems; Argentina; Presencial; ARS 134.328.000 - 194.030.000; Jornada completa

Descripción de la vacante

EPAM Systems is seeking a Senior Data Engineer to design, build, and maintain robust data pipelines for analytics and ML workloads. You will champion end-to-end data workflows, from ingestion to delivery, and oversee secure, scalable compute infrastructure.

Collaborating with data scientists and engineers, you will enforce best practices, automate tests and deployments, and monitor performance to ensure data quality and reliability across platforms.

Formación

• Minimum 3 years of relevant experience.
• Hands-on experience with Domino Data Lab platform, incl. Data Sources/Connectors, Datasets, Projects, Flows.
• Expert Python for data engineering and pipeline development.
• Strong SQL across relational and data warehouse systems.
• Experience with Kubernetes and cloud providers, deployment and tuning.
• CI/CD experience for data pipelines and ML workflows.
• Familiarity with GenAI, LLMs, or related tooling from a data pipeline view.
• Knowledge of orchestration tools like Airflow, Domino Flows.

Responsabilidades

• Design, build, and maintain robust data pipelines for analytics and ML workloads.
• Manage end-to-end lifecycle of data workflows from ingestion to delivery.
• Oversee compute infrastructure for secure, efficient platform operations.
• Troubleshoot issues impacting pipeline performance and data quality.
• Collaborate with data scientists and engineers to support tooling needs.
• Establish and promote best practices for platform usage and pipeline design.
• Automate testing and deployment processes to improve reliability.
• Monitor pipeline health and address bottlenecks or failures proactively.
• Document designs, workflows, and configurations for knowledge sharing.

Conocimientos

Python

SQL

Bash

R

Docker

Kubernetes

ETL/ELT pipelines

CI/CD

Cloud

English proficiency

Herramientas

Jenkins

GitLab CI

GitHub Actions

Azure DevOps

Airflow

Domino Flows

Descripción del empleo

EPAM Systems is seeking a Senior Data Engineer to design, build, and maintain robust data pipelines for analytics and ML workloads. You will champion end-to-end data workflows, from ingestion to delivery, and oversee secure, scalable compute infrastructure.

Collaborating with data scientists and engineers, you will enforce best practices, automate tests and deployments, and monitor performance to ensure data quality and reliability across platforms.