Remote DataOps Engineer – Azure Data Platform & Pipelines

UNAVAILABLE; Argentina; A distancia; ARS 105.638.000 - 135.820.000; Jornada completa

Descripción de la vacante

Bridgenext is seeking a skilled DataOps Engineer to design, build, and maintain automated data pipelines and cloud-based data platforms that support enterprise-scale applications. The role focuses on reliability, performance, and scalability of data operations across systems, analytics, and applications.

Key responsibilities include building pipelines with Azure Data Factory, Databricks, or equivalent, implementing CI/CD for data workflows, and ensuring data quality, governance, and secure

Formación

• 5+ years of experience in Data Engineering or DataOps in cloud environments.
• Hands-on experience with Azure Data Factory, Synapse, Databricks, and Azure SQL.
• Proficiency in Python, PowerShell, or Bash scripting.

Responsabilidades

• Develop, deploy, and maintain data ingestion and delivery pipelines on Azure.
• Implement CI/CD pipelines for data workflows.
• Automate data quality checks and schema validation.
• Integrate diverse data sources and enable seamless data flow between systems.
• Build dashboards to monitor data pipeline health and performance.

Herramientas

Azure Data Factory

Azure Synapse

Databricks

Azure SQL

Python

PowerShell

Bash

Terraform

ARM

DevOps tools

Descripción del empleo

Bridgenext is seeking a skilled DataOps Engineer to design, build, and maintain automated data pipelines and cloud-based data platforms that support enterprise-scale applications. The role focuses on reliability, performance, and scalability of data operations across systems, analytics, and applications.

Key responsibilities include building pipelines with Azure Data Factory, Databricks, or equivalent, implementing CI/CD for data workflows, and ensuring data quality, governance, and secure