Senior Cloud Data Ingestion Engineer - Remote LATAM

EPAM Systems Inc

Ciudad de Mendoza

Remote

ARS 185,819,000 - 278,728,000

Full time

10 days ago

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Benefits offered by this job

Contractor agreement with payment in美元
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors for a remote LATAM engagement. You will design and build connectors and ingestion pipelines, collaborating with customers to understand their IT landscapes and security requirements.

You will combine data engineering, software engineering, solution architecture, and cloud infrastructure to deliver scalable, secure data ingestion solutions across AWS, Azure, and GCP environments.

Qualifications

  • 10+ years of professional experience in software/data engineering or related fields.
  • Strong experience with Python and Go.
  • Hands-on with REST APIs and data ingestion pipelines.

Responsibilities

  • Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
  • Integrate enterprise data sources including identity providers, cloud platforms, network infrastructure, endpoints, applications, and SIEM systems.
  • Work directly with customers to understand environments, data flows, security requirements, and integration constraints.
  • Design scalable ingestion architectures for processing security events, logs, and high-volume data sources.
  • Develop backend services using Python and/or Go and work with SQL/NoSQL databases.

Skills

Python
Go
REST APIs
Data ingestion
SQL & NoSQL
Docker
Kubernetes
CI/CD
Cloud platforms
Customer-facing

Tools

AWS
Azure
GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors for a remote LATAM engagement. You will design and build connectors and ingestion pipelines, collaborating with customers to understand their IT landscapes and security requirements.

You will combine data engineering, software engineering, solution architecture, and cloud infrastructure to deliver scalable, secure data ingestion solutions across AWS, Azure, and GCP environments.

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