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

• Design and build scalable data pipelines and ETL/ELT processes using Azure Data Factory, Synapse, Fabric, or Databricks.
• Manage and optimize data storage solutions such as Azure Data Lake and Azure SQL/Synapse.
• Ensure data quality, reliability, and performance across data workflows.
• Implement data security, governance, and compliance best practices.
• Collaborate with analytics and business teams to deliver high‑quality, accessible data.

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

• Strong experience with Azure Data Factory, Azure Databricks, Azure Fabric, and/or Azure Synapse for building data pipelines.
• Proficiency in ETL/ELT development, data modeling, and data integration.
• Solid understanding of Azure Data Lake (ADLS), Azure SQL, and related storage technologies.
• Strong SQL skills for querying, optimization, and data transformation.
• Knowledge of Python or Scala for data engineering tasks.

• Experience implementing data security, governance, and compliance in Azure (RBAC, encryption, Purview, etc.).
• Familiarity with CI/CD pipelines using Azure DevOps or GitHub.
• Hands‑on experience with debugging, monitoring, and optimizing production data pipelines.

• 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.