Senior Data Engineer, Integrations — Spark & JVM Architect

United States Digital Space LLC; Ciudad de México; Presencial; MXN 1.200.000 - 1.500.000; Jornada completa

Descripción de la vacante

Coca-Cola is hiring a Sr. Data Engineer - Integrations to drive data flow architecture across our enterprise ecosystem. You will design scalable data products using Spark, Scala, and JVM-based engineering, delivering high-performance backend services and data pipelines.

Lead architecture decisions, mentor engineers, and champion CI/CD practices with GitHub Actions, Maven, and SBT to ensure reliable deployments and data quality across the organization.

Formación

• Expert-level Scala programming and JVM internals.
• 5+ years of Advanced Spark experience with enterprise-grade apps.
• Experience designing scalable data models and Medallion architectures.
• Proven ability to architect REST-based microservices on the JVM.
• Strong leadership in Synapse/Fabric data services and Azure stack.
• Masters of CI/CD with GitHub Actions, Maven/SBT.
• Experience with Agile delivery and global teams.

Responsabilidades

• Establish Medallion architecture patterns (Bronze, Silver, Gold) within Microsoft Fabric.
• Optimize Spark performance, memory, and partitioning to reduce bottlenecks and costs.
• Design and lead REST-based microservices and APIs on the JVM.
• Write modular, testable, and maintainable Scala code following SOLID principles.
• Architect data workflows with partitioning and efficient storage formats.
• Lead architecture reviews, code quality initiatives, and mentoring.
• Maintain robust CI/CD pipelines for automated testing, deployment, and data artifacts.

Conocimientos

Scala & JVM

Spark

Data architecture

Backend API design

Azure Synapse/Fabric

DevOps & CI/CD

Delivery & Agile

Herramientas

Apache Spark,Scala

Azure Synapse

Fabric

Azure Data Factory

GitHub Actions

Maven

SBT

Descripción del empleo

Coca-Cola is hiring a Sr. Data Engineer - Integrations to drive data flow architecture across our enterprise ecosystem. You will design scalable data products using Spark, Scala, and JVM-based engineering, delivering high-performance backend services and data pipelines.

Lead architecture decisions, mentor engineers, and champion CI/CD practices with GitHub Actions, Maven, and SBT to ensure reliable deployments and data quality across the organization.