Senior Data Engineer

FPT Latin America; Colombia; On-site; COP 120,000,000 - 180,000,000; Full time

Job summary

FPT Latin America is seeking a Senior Data Engineer to drive a Unified Data Platform supporting enterprise-wide interoperability, analytics, and AI capabilities in healthcare.

You will design and build scalable cloud data solutions, modernize data platforms, and enable seamless integration across enterprise systems, collaborating with architecture, product, and engineering teams to deliver end-to-end data products.

Qualifications

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

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.
• Collaborate with architecture, product, and engineering teams.

Skills

Data Engineering

Python

SQL

ETL/ELT

API Integration

Data Mesh

Data as a Product

Agile

Stakeholder Mgmt

Cloud Data Platform

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.