Senior Data Engineer – Integrations & Spark Architecture

The Coca-Cola Company; Ciudad de México; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

The Coca-Cola Company is seeking a Sr. Data Engineer - Integrations in Mexico to drive data strategy and architecture across the enterprise. You will design scalable data products using Spark, Scala, and JVM-based engineering, enabling fast, cost-efficient data processing.

You will mentor engineers, enforce SOLID and functional programming standards, and architect APIs and microservices with CI/CD pipelines. This role emphasizes collaboration with global teams in a data-driven, Agile environment.

Formación

• Expert-level proficiency in Scala and JVM internals.
• Extensive Spark experience building and optimizing distributed apps.
• Experience with Medallion architecture and scalable data models.
• Proven backend API and microservices design on the JVM.
• Hands-on DevOps with CI/CD tooling and cloud data services.

Responsabilidades

• Architect enterprise-scale data integration pipelines and data products.
• Optimize Spark performance and memory management.
• Design REST-based microservices with low latency interoperability.
• Write modular, testable code following SOLID and FP principles.
• Lead architectural reviews and mentor engineers.

Conocimientos

Scala & JVM architecture

Spark data processing

Data modeling & medallion architecture

REST microservices design

Agile development

Herramientas

GitHub Actions

Maven

SBT

Azure Synapse

Azure Fabric

REST APIs

Descripción del empleo

The Coca-Cola Company is seeking a Sr. Data Engineer - Integrations in Mexico to drive data strategy and architecture across the enterprise. You will design scalable data products using Spark, Scala, and JVM-based engineering, enabling fast, cost-efficient data processing.

You will mentor engineers, enforce SOLID and functional programming standards, and architect APIs and microservices with CI/CD pipelines. This role emphasizes collaboration with global teams in a data-driven, Agile environment.