Senior Data Engineer

FPT Latin America; Brasil; Hybrid; BRL 549,000 - 823,000; Full time

Job summary

FPT Latin America seeks a Senior Data Engineer to drive a Unified Data Platform initiative in LATAM/Mexico. You will design scalable cloud data solutions, modernize data platforms, and enable seamless integration across enterprise systems.

Role emphasizes ETL/ELT pipelines, API-driven integration, and AI/ML-enabled data workflows. Collaboration with architecture, product, and engineering teams is essential.

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

AWS

Snowflake

Python

SQL

ETL/ELT

API integrations

Data Mesh

Data as a Product

Tools

AWS S3

AWS Glue

AWS Lambda

AWS Redshift

Job description

Senior Data Engineer (AWS + Snowflake)

Location: LATAM / Mexico

Experience: 6+ years

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.

Key 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.

Required Technical Skills

• 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

• AI/ML integration into data pipelines.


• Kafka or other event-driven architectures.


• Healthcare industry experience (ACA, Medicare, Medicaid).


• Enterprise-scale data platforms.


• 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.