Senior Azure Data Engineer – Data Pipelines & Fabric

Infosys; Monterrey; Hybrid; MXN 900,000 - 1,400,000; Full time

Job summary

Infosys is seeking an Azure Data Engineer to design scalable data solutions, develop and optimize data pipelines, and integrate data from multiple sources to enable reliable analytics. The role emphasizes data quality, security, and compliance across Azure services.

The ideal candidate has extensive experience with Azure Data Factory, Data Lake, and SQL Data Warehouse, and will collaborate with global teams to meet tight timelines while leveraging SAP Datasphere experience as a plus.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 7+ years IT experience including data engineering and Azure cloud solutions.
• Bilingual in Spanish and English with strong communication.
• Experience implementing Azure Cloud services for data movement and transformations.

Responsibilities

• Design scalable data architectures using Fabric and Azure tools.
• Build and maintain ETL pipelines to move data into warehouses or data lakes.
• Ensure data quality, security, and compliance.
• Integrate data from multiple sources and optimize storage for performance and cost.
• Monitor data systems and troubleshoot issues.

Skills

SQL

Python

Azure

ETL

Data Modeling

Data Warehousing

DevOps

Bilingual

Education

Bachelor's degree in Computer Science

Tools

Azure Data Factory

Azure Data Lake

SQL Data Warehouse

SAP Datasphere

Job description

Infosys is seeking an Azure Data Engineer to design scalable data solutions, develop and optimize data pipelines, and integrate data from multiple sources to enable reliable analytics. The role emphasizes data quality, security, and compliance across Azure services.

The ideal candidate has extensive experience with Azure Data Factory, Data Lake, and SQL Data Warehouse, and will collaborate with global teams to meet tight timelines while leveraging SAP Datasphere experience as a plus.