7 publicaciones de empleo destacadas de azure devops engineer en ciudad de méxico, dif (¡Están contratando!)

Sr. Data Engineer - Integrations
Coca-Cola —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Java
15h
Sr. Data Engineer
Coca-Cola —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Java
15h
Desarrollador IA
Babel —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
- Oportunidades de crecimiento
DevOps Specialist - Mexico Residents
Arcadion —Colonia Polanco, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
Postulación rápida
IT Infrastructure Engineer
Sterlington, PLLC —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
12h
QA Automation Engineer (API & Database Validation)
Nexaminds —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
4h
Senior Project Manager
DFX5 —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
3h

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Sr. Data Engineer - Integrations
Coca-Cola —Ciudad de México, CDMX
Architect and oversee enterprise-scale data integration pipelines and data products. Conduct architectural reviews, lead code quality initiatives, and mentor…
15h
Sr. Data Engineer
Coca-Cola —Ciudad de México, CDMX
Design and develop data integration pipelines and backend services for structured and unstructured data, using Apache Spark with Scala.
15h

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Sr. Data Engineer - Integrations

Coca-Cola -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 15 horas

Cualificaciones

Azure
DevOps
Spark
Git
Java
JavaScript
Scala
Apache
Maven
Liderazgo
Debugging

Descripción completa del empleo

At The Coca‑Cola Company, we believe data is the foundation for creating personalized experiences and powering sustainable growth in today’s digital-first world. As consumers engage with our brands in more connected ways than ever before, we are investing in advanced data and analytics platforms to unlock deeper insights, accelerate decision-making, and enable seamless innovation at scale.

In this role as a Sr. Data Engineer - Integrations, you will drive the technical strategy and architecture for how data flows across our enterprise ecosystem. By leveraging your expert-level proficiency in Spark, Scala/Java development, and JVM-based engineering, you will design scalable data products.

Core Responsibilities

Architect and oversee enterprise-scale data integration pipelines and data products. Establish Medallion architecture patterns (Bronze, Silver, Gold) within Microsoft Fabric to ensure data quality, scalability, and reusability.

Optimization: Act as the ultimate escalation point for complex Spark performance tuning. Deep-dive into Catalyst optimizer query plans, JVM memory profiling, and advanced partitioning strategies to resolve platform-wide bottlenecks and maximize cost efficiency.

Complex Backend System Design: Lead the system design and architecture of highly available, REST-based microservices and APIs on the JVM, enabling seamless, low-latency interoperability between complex internal and external systems.

Engineer modular, testable, and maintainable code applying functional programming principles and industry-best patterns for reliability and performance.

Optimize workflows through data partitioning strategies, storage formats, and platform configurations to enable high-performance querying and cost efficiency.

Engineering Excellence & Mentorship: Champion the "You Build It, You Run It" philosophy. Define the standards for functional programming and SOLID principles in Scala. Conduct architectural reviews, lead code quality initiatives, and mentor Grade 10 and junior engineers.

CI/CD & Automation: Architect and maintain robust CI/CD pipelines using GitHub Actions, Maven, and SBT to automate testing, deployment, and configuration of data artifacts.

Required Qualifications & Experience

Expert Scala & JVM Architecture: Expert-level proficiency in Scala programming and JVM internals. Demonstrated ability to design concurrent, modular systems using advanced functional programming concepts.

Advanced Spark Expertise (5+ years): Deep, hands-on experience building, debugging, and optimizing enterprise-grade distributed computing applications using Apache Spark (Scala preferred). Proven track record of solving complex data skew and memory management issues at scale.

Data Architecture & Strategy: Extensive experience designing scalable data models (STAR, Vault, Tabular) and building out Medallion architectures for complex enterprise analytics and structured streaming applications.

Backend & API Engineering: Proven experience architecting and scaling REST-based microservices and robust backend applications on the JVM.

Synapse/Fabric Leadership (4-5+ years combined): Deep architectural experience transforming large data ecosystems using Azure Data Services (Synapse, Fabric, ADF, Azure Functions).

DevOps & CI/CD Mastery: Proven ability to architect automated release cycles and infrastructure deployment. Hands-on expertise with Git, GitHub Actions, build tools (Maven/SBT), and configuring environments for parallel development.

Delivery: Experience in Agile development (Scrum, lean techniques) and collaborating with global engineering teams.

Location(s):

Mexico

City/Cities:

Mexico

Travel Required:

00% - 25%

Relocation Provided:

Job Posting End Date:

August 29, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

Annual Incentive Reference Value Percentage:15
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

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azure devops engineer empleos en ciudad de méxico, dif

Sr. Data Engineer - Integrations

Sr. Data Engineer

Desarrollador IA

DevOps Specialist - Mexico Residents

IT Infrastructure Engineer

QA Automation Engineer (API & Database Validation)

Senior Project Manager

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