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

• Design, build, and operate AWS data pipelines using Glue, Lambda, Step Functions, DMS, and EventBridge to ingest and transform data at scale.
• Manage analytics data platforms on S3, Athena, and Redshift, ensuring performant, well‑modeled, and analytics‑ready datasets.
• Develop and maintain data logic using Python and SQL, working across MySQL, Oracle, and Redshift, with clean version-controlled code in GitHub.
• Ensure reliability, security, and quality through monitoring, logging, data validation, and auditing using AWS CloudTrail and best practices.

• 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 AWS data pipelines.

• AWS Glue, Lambda, Step Functions, DMS, EventBridge.
• Redshift, Athena, S3.
• Python.
• SQL, MYSQL, Oracle.

• AWS CloudTrail for security.
• Familiarity with CI/CD pipelines using GitHub for version control.
• 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.