Remote DataOps Engineer - Azure Data Pipelines & Automation

Bridgenext; Argentina; A distancia; ARS 91.385.000 - 167.540.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work in LATAM

US client projects

Descripción de la vacante

Bridgenext is seeking a skilled DataOps Engineer to design, build, and maintain automated data pipelines and cloud-based data platforms for enterprise-scale apps. You will ensure reliability, performance, and scalability of data operations across systems, analytics, and applications.

The role requires hands-on expertise with Azure data services, data orchestration, and CI/CD automation for data workflows, with a preference for candidates based in Argentina and a remote LATAM work setup.

Formación

• 5+ years in Data Engineering or DataOps in cloud environments.
• Hands-on with Azure Data Factory, Synapse, Databricks, and SQL.
• Proficient scripting for automation (Python/PowerShell/Bash).
• Infrastructure as Code experience with Terraform/ARM.

Responsabilidades

• Develop, deploy, and maintain data pipelines using Azure Data Factory or Databricks.
• Implement CI/CD pipelines for data workflows with Azure DevOps or GitHub Actions.
• Automate data quality checks, schema validation, and error handling.
• Integrate data from APIs, databases, and IoT sources.
• Collaborate with Data Engineers, DevOps, and Developers to optimize data flow.
• Manage Azure data services and provision resources with IaC tools.
• Enforce data governance and access controls.
• Build dashboards to monitor pipeline health and performance.

Conocimientos

DataOps

Data Engineering

Python scripting

Automation

Problem solving

Herramientas

Azure Data Factory

Azure Synapse

Databricks

Azure SQL

Terraform

ARM templates

Azure DevOps

Git

Jenkins

GitHub Actions

Descripción del empleo

Bridgenext is seeking a skilled DataOps Engineer to design, build, and maintain automated data pipelines and cloud-based data platforms for enterprise-scale apps. You will ensure reliability, performance, and scalability of data operations across systems, analytics, and applications.

The role requires hands-on expertise with Azure data services, data orchestration, and CI/CD automation for data workflows, with a preference for candidates based in Argentina and a remote LATAM work setup.