Senior Data Ingestion Engineer - Remote (LATAM)

Epam Systems Inc

La Pampa

Remote

ARS 185,448,000 - 278,173,000

Full time

4 days ago
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Benefits offered by this job

Contractor agreement with payment in $
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 100% remote, LATAM-based engagement. You will work directly with enterprise customers to design scalable ingestion pipelines and connectors, using Python and Go, and deploying on AWS/Azure/GCP.

You will collaborate with solution architects and engineering teams to ensure reliable, scalable data ingestion across cloud and on-prem environments, while maintaining strong security considerations

Qualifications

  • 10+ years of professional software engineering, data engineering, or related experience.
  • Strong Python and Go development skills.
  • Experience building data ingestion pipelines and integration platforms.
  • Experience with SQL and NoSQL databases, and cloud deployments.

Responsibilities

  • Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
  • Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
  • Work directly with customers to understand environments, data flows, and APIs.
  • Build scalable ingestion architectures for processing security events and logs.
  • Develop backend services using Python and/or Go; work with Docker/Kubernetes.

Skills

Python
Go
REST APIs
Data ingestion
Cloud platforms
CI/CD
Distributed systems
SQL/NoSQL
Customer-facing
Debugging

Tools

Docker
Kubernetes
AWS
Azure
GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a 100% remote, LATAM-based engagement. You will work directly with enterprise customers to design scalable ingestion pipelines and connectors, using Python and Go, and deploying on AWS/Azure/GCP.

You will collaborate with solution architects and engineering teams to ensure reliable, scalable data ingestion across cloud and on-prem environments, while maintaining strong security considerations

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