About the CompanyTech Lead who can analyze and design Microservices solutions (Rest and event-based) for application integration using the new interoperability layer and who can technically guide the teams that will develop these components, ensuring that the implementation is carried out according to established standards and guidelines.Application Analysis: Interoperability Design: Define integration patterns to allow disparate systems (legacy systems, REST APIs, databases) to publish or consume data in Kafka.
Data Management: Design of the data model, as well as the data transformation and mapping strategy between systems, ensuring semantic interoperability.
Implement applications (APIs, microservices) that use Java APIs or compatible languages to write and read data from topics.
Real-Time ETL Implementation: Configure data processing pipelines using Kafka Connect to continuously move information between systems and platforms such as S3, Mongo DB, Elasticsearch, etc.
Gestión del Ecosistema Kafka: Deploy and maintain Kafka clusters, managing Brokers, partitions, and replicas to ensure high availability and fault tolerance.
Data Transformation: Use Kafka Streams to process, clean, and transform messages as they occur.
Knowledge in security protocols, encryption, and regulatory compliance, data protection.
Understanding of integration platforms (ESB), data repositories, etc.
Engagement with business, architecture, legacy systems, and front-end to define services.
Design of component, context, sequence, activity, deployment, and high-level database entity-relationship diagrams.
Development in: REST and Event Microservices, Java J2 EE, Spring, Spring Boot, Hibernate, Mongo DB, Mongo DB, Java Script/Type Script.
Application Servers: Tomcat, Web Logic, Open Shift.
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Data Management: Design of the data model, as well as the data transformation and mapping strategy between systems, ensuring semantic interoperability.
Implement applications (APIs, microservices) that use Java APIs or compatible languages to write and read data from topics.
Real-Time ETL Implementation: Configure data processing pipelines using Kafka Connect to continuously move information between systems and platforms such as S3, Mongo DB, Elasticsearch, etc.
Gestión del Ecosistema Kafka: Deploy and maintain Kafka clusters, managing Brokers, partitions, and replicas to ensure high availability and fault tolerance.
Data Transformation: Use Kafka Streams to process, clean, and transform messages as they occur.
Knowledge in security protocols, encryption, and regulatory compliance, data protection.
Understanding of integration platforms (ESB), data repositories, etc.
Engagement with business, architecture, legacy systems, and front-end to define services.
Design of component, context, sequence, activity, deployment, and high-level database entity-relationship diagrams.
Development in: REST and Event Microservices, Java J2 EE, Spring, Spring Boot, Hibernate, Mongo DB, Mongo DB, Java Script/Type Script.
Application Servers: Tomcat, Web Logic, Open Shift.
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