Senior Data Engineer

FPT Latin America; México; On-site; MXN 900,000 - 1,300,000; Full time

Job summary

FPT Latin America is seeking a Senior Data Engineer to drive a Unified Data Platform initiative in healthcare. You will design and build scalable cloud-based data solutions, enabling interoperability and AI-ready analytics across the enterprise.

You'll work with AWS, Snowflake, Python, and SQL to develop ETL/ELT pipelines, API integrations, and data mesh concepts, ensuring robust data ecosystems and modern data architectures for enterprise-scale impact.

Qualifications

• 6+ years of experience in Data Engineering.
• Strong hands-on experience with AWS (S3, Glue, Lambda, Redshift).
• Snowflake.
• Advanced Python and SQL.
• ETL/ELT pipeline development and optimization.
• API-based integrations.
• Understanding of Data Mesh / Data-as-a-Product architectures.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build API-based data integration solutions.
• Implement modern data architectures based on Data Mesh / Data-as-a-Product principles.
• Enable data interoperability across enterprise platforms.
• Integrate AI/ML capabilities into data workflows.
• Optimize and automate data processes.
• Collaborate with architecture, product, and engineering teams.

Skills

Data engineering

Python

SQL

ETL/ELT

Tools

AWS

Snowflake

Job description

We are looking for a Senior Data Engineer to join an exciting Unified Data Platform initiative supporting enterprise-wide data interoperability, advanced analytics, and AI capabilities within the healthcare industry.

You'll play a key role in designing and building scalable cloud-based data solutions, modernizing data platforms, and enabling seamless integration across enterprise systems.

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build API-based data integration solutions.
• Implement modern data architectures based on Data Mesh / Data-as-a-Product principles.
• Enable data interoperability across enterprise platforms.
• Integrate AI/ML capabilities into data workflows.
• Optimize and automate data processes.
• Collaborate with architecture, product, and engineering teams.
• 6+ years of experience in Data Engineering.
• Strong hands‑on experience with AWS (S3, Glue, Lambda, Redshift).
• Snowflake.
• Advanced Python and SQL.
• ETL/ELT pipeline development and optimization.
• API-based integrations.
• Understanding of Data Mesh / Data-as-a-Product architectures.

Nice to Have:

• Kafka or other event-driven architectures.
• Agile methodologies and strong stakeholder management.

What makes this opportunity exciting?

You’ll contribute to a cloud modernization initiative within the healthcare industry, helping build scalable data ecosystems that power analytics, interoperability, and next-generation AI solutions.