2 publicaciones de empleo destacadas de lead java developer en mexico (¡Están contratando!)

Senior Developer / Systems & ETL Engineer
Metova —México
- Home Office (Desde casa)
- Azure
- Oracle
- Administración de personal
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Senior Middleware Engineer
Partner One Capital —México
- Home Office (Desde casa)
- Azure
- DevOps
- Java
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Senior Middleware Engineer
Partner One Capital —México
Establish end-to-end observability: distributed tracing (OpenTelemetry), metrics (Prometheus/Grafana), and alerting for queue depth, consumer lag, connection…
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Senior Developer / Systems & ETL Engineer

Metova -
México

Postulación rápida

Información del empleo

Cualificaciones

Cognos
Azure
Oracle
Administración de personal
Informática
Kubernetes
Plurilingüe
Estructura de datos
QlikView
UNIX
Microsoft SQL Server
Java
SQL
Programación orientada a objetos
Docker
Licenciatura
Mejora continua
JavaScript
PostgreSQL
Perl
RabbitMQ
Seguridad
Linux
Redshift
SAP BusinessObjects
PL/SQL
Python
Spring
Debugging
MySQL
Hadoop

Descripción completa del empleo

We are looking for a Senior Developer / Systems & ETL Engineer — a senior-level polyglot engineer capable of working across the full technology stack, from ETL and data engineering to modern application development and cloud-native delivery.

In this role, you will lead the design and implementation of scalable information processing systems, combining strong data expertise with application and API development. You will work independently, drive complex initiatives, and act as a key technical point of contact for client engagements.

Key Responsibilities:

Design, develop, and implement end-to-end systems (ETL, APIs, and integrated applications)
Build scalable ETL pipelines for high-volume batch and real-time data processing
Develop applications using Java, Python, and Spring-based frameworks
Design and maintain RESTful APIs and API documentation (Swagger/OpenAPI)
Integrate messaging and streaming solutions (e.g., ActiveMQ, RabbitMQ)
Apply object-oriented principles and troubleshoot across application and data layers
Containerize and deploy solutions using Docker/Kubernetes in cloud environments (AWS/Azure)
Ensure application security using OWASP standards and best practices
Collaborate with clients to gather requirements and deliver technical solutions
Produce technical documentation, system designs, and process flows
Support testing, deployment, and continuous improvement efforts

Requirements

Technical Skills & Experience:

Bachelor’s degree in Computer Science or 4+ years of equivalent experience
5+ years of hands-on experience across multiple technologies
Strong programming skills in Java, Python, SQL (C or Perl is a plus)
Solid understanding of OOP concepts and data structures
Experience with Spring Boot, Spring Integration, or similar frameworks
Proven experience designing and developing RESTful APIs
Hands-on experience with Docker and/or Kubernetes
Knowledge of cloud-native architectures (AWS and/or Azure)
Experience with messaging systems (ActiveMQ, RabbitMQ, or similar)
Strong debugging and problem-solving skills across systems
Experience with ETL development and data warehousing/data marts
Proficiency in SQL and PL/SQL for data manipulation
Experience with RDBMS (Oracle, SQL Server, MySQL, PostgreSQL)
Familiarity with schema-on-read platforms (Snowflake, Redshift, Hadoop, Athena, Synapse)
Experience working in UNIX/Linux environments
Knowledge of application security (OWASP, CVE remediation)
Experience creating technical documentation and process flow diagrams

Core Competencies:

Ability to design systems end-to-end (data ingestion to API and deployment)
Strong ownership and ability to manage multiple projects independently
Effective communication with technical and business stakeholders
Analytical mindset with strong problem-solving skills
High adaptability in fast-paced environments

Nice to Have:

Advanced PL/SQL and Oracle analytic functions
Experience with microservices architecture and CI/CD pipelines
Knowledge of BI tools (Cognos, QlikView, MicroStrategy, Business Objects)
Experience with marketing data or campaign management platforms
Background in dimensional modeling (star schema)

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