Backend Developer

Iris Grupo Tecnológico

Barcelona, Spain

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.jobleads.com

Tech stack

Java (Programming Language) .NET Framework Microsoft Azure Big Data C Sharp (Programming Language) Continuous Integration DevOps Distributed Systems Python (Programming Language) MongoDB Performance Tuning Service-Oriented Architecture

+15 more

SQL Databases Systems Integration Web Services Delivery Pipeline Apache Spark Backend Git Deployment Automation Non-relational Database Data Management Front End Software Development Restful APIs Docker Databricks Microservices

Job description

Develop and maintain the platform backend and its applications;
Implement APIs and services for integration with other components and external data sources;
Develop connectors that integrate different technologies and information sources with the platform;
Build and maintain data ingestion, transformation, and delivery pipelines;
Ensure security, scalability, and performance optimization in distributed environments;
Collaborate with frontend, product, and QA teams to ensure quality deliveries;
Automate deployments and maintenance following CI/CD and DevOps best practices;
Participate in designing and developing new functionalities.

Requirements

5+ Years of solid backend development experience;
Proficiency in Python, .NET (C#), Java, or similar technologies;
Experience designing and implementing REST APIs;
Knowledge of relational and non-relational databases, including SQL and MongoDB;
Familiarity with containers and orchestration using Docker and Kubernetes;
Experience with CI/CD environments and version control using Git;
Knowledge of microservices or SOA architectures;
Proactivity, autonomy, and a results-oriented approach;
Interest in product environments that are constantly evolving, * Microsoft Azure experience, including Data Factory, Databricks, and Functions;
large-scale data processing experience with Spark or similar technologies;
Scala experience;
experience with projects involving multiple integrations or data platforms.