Azure Data Engineer

State / Region / Province

Country

Mexico

Skills

Technology|Cloud Integration|Azure Data Factory (ADF), Technology|Database|SQL tuning, Technology|OpenSystem|Python - OpenSystem

Domain

Delivery

Interest Group

Infy Mexico

Company

Requisition ID

154277BR

Azure Data Engineer (Ingeniero de Datos Azure)
Location: Mexico (Mexico City, Guadalajara, Monterrey, Queretaro) – Hybrid as per Infosys Mexico policy (CST/EST time)

Role Overview

Infosys is seeking a Data Engineer with experience in Microsoft Fabric, and Azure Data Services to design scalable data solutions, develop and optimize data pipelines, integrate data from multiple sources, and ensure data quality, security, and compliance. Experience in SAP Datasphere will be an advantage. The role is responsible for maintaining high-performing data platforms that enable reliable analytics and business insights.

Key Responsibilities

• Designing Data Solutions: Creating scalable and efficient data architectures using Fabric and/or Azure tools.
• Building and Maintaining Data Pipelines: Developing ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes using tools like Azure Data Factory.
• Data Integration: Ensuring seamless integration of data from different sources and maintaining data quality and consistency.
• Data Storage Management: Managing and optimizing data storage solutions to ensure performance, scalability, and cost-effectiveness.
• Ensuring Data Security and Compliance: Implementing data security measures and ensuring compliance with relevant data protection regulations.
• Monitoring and Troubleshooting: Continuously monitoring data systems for performance issues and troubleshooting any problems that arise.

Basic Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science or related field.
• 3+ years of IT experience , including data engineering and Azure cloud solutions.
• Bilingual (Spanish & English) – strong verbal and written communication.
• Proven experience implementing Azure Cloud services for data movement and transformations.

Mandatory Skills

• 3+ years of hands‑on experience in design, support, delivery of data management, modeling, and analytics solutions. This includes hands‑on experience with data integration, ETL processes, and data modeling.
• 2+ years of Azure Data Lake and SQL Data Warehouse experience.
• 2+ years of Azure Data Factory and DevOps.
• Proficiency in SQL or Python, or other programming languages used for data processing.
• Ability to rapidly develop outcomes via specifications and requirements to build proof of concepts.
• Profiling various information systems, capture source/target mappings and transformations based on project requirements.
• Ability to rapidly define requirements and build proof of concepts.

Preferred Skills

• 2+ years of SAP Datasphere / BDC.
• 1+ years utilizing AI to expedite data engineering tasks.

Other Requirements

• Ability to work under tight timelines and manage complex requirements.
• Flexible to work during CST/EST time zones and meet for hand-over activities to India team if needed.
• Self-motivated, proactive, and a strong team player.

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.