Security Data Engineer: Azure Data Pipelines & Automation

Edetek Inc.; Buenos Aires; In loco; ARS 69.181.000 - 130.675.000; Tempo pieno

Vantaggi offerti da questo lavoro

Continuous learning

Flexible working

Global collaboration

Descrizione del lavoro

EY Global Delivery Services is seeking a Security Management - Data Engineer to join our Information Security team. You will engineer and enhance security data platforms, onboard data sources, and develop scalable Azure-based pipelines with Data Factory, Databricks, and SQL technologies.

You’ll collaborate across security, operations and engineering teams to deliver secure, data-driven solutions. The role emphasizes ETL/ELT, cloud-native architectures and automation to improve data quality,

Competenze

• Detailed knowledge of Azure data engineering and enterprise data platforms.
• Hands-on experience with Azure Data Factory, SQL, ETL/ELT frameworks.
• Experience designing and troubleshooting enterprise-scale cloud data platforms.

Mansioni

• Design, build and maintain Azure data integration frameworks across cloud environments.
• Develop data ingestion, orchestration and automation solutions using Azure services.
• Collaborate with cross-functional teams to onboard data sources and deliver scalable analytics.

Conoscenze

Strong communication

Stakeholder management

Consulting skills

Problem solving

Formazione

Bachelor’s degree in computer science or related field

Strumenti

Azure Databricks

Azure Data Factory

Azure Functions

Logic Apps

SQL Server technologies

REST API integrations

Power BI

Descrizione del lavoro

EY Global Delivery Services is seeking a Security Management - Data Engineer to join our Information Security team. You will engineer and enhance security data platforms, onboard data sources, and develop scalable Azure-based pipelines with Data Factory, Databricks, and SQL technologies.

You’ll collaborate across security, operations and engineering teams to deliver secure, data-driven solutions. The role emphasizes ETL/ELT, cloud-native architectures and automation to improve data quality,