Senior Data Ingestion Architect – Remote & Cloud Integrations

EPAM Systems Inc; Ciudad de Mendoza; A distancia; ARS 138.361.000 - 215.229.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with USD payment

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a 100% remote role in LATAM. You will work directly with customers to understand their security data, APIs, and workflows, designing scalable ingestion pipelines and connectors.

You will build backend services in Python and Go, integrate with cloud platforms across AWS/Azure/GCP, and ensure reliability, security, and performance in data pipelines for identity security and cybersecurity workloads.

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines or integration platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong CI/CD practices and Git workflows.
• Ability to work directly with customers and translate requirements.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Collaborate with customers to understand environments, data flows, and security requirements.
• Contribute to onboarding, architecture design, and deployment processes.
• Design scalable ingestion architectures for high-volume data sources like security events and logs.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services in Python and/or Go.
• Work with SQL/NoSQL databases and containerized services using Docker/Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployments and optimize performance.

Conocimientos

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

Customer-facing

Cloud platforms

Herramientas

AWS

Azure

GCP

Descripción del empleo

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a 100% remote role in LATAM. You will work directly with customers to understand their security data, APIs, and workflows, designing scalable ingestion pipelines and connectors.

You will build backend services in Python and Go, integrate with cloud platforms across AWS/Azure/GCP, and ensure reliability, security, and performance in data pipelines for identity security and cybersecurity workloads.