Junior Big Data AI Developer We are expanding our consulting teams and looking for junior developers interested in professionally growing in Big Data, AI, and Industry 4.0. Our team is made up of physicists, software engineers, telecommunications engineers, and electronics engineers. When applying for the job offer, we ask you several questions. The idea is that we can quickly see which projects you have participated in and what technological aspects interest you the most. **We value interest and/or knowledge in the following areas:** * Participation in Open Source projects * Linux system administration * Hadoop Ecosystem tools * Cloudera Data Platform * Kubernetes / Docker * Cybersecurity * Azure, AWS * Apache, Apache Tomcat, MySQL * Development tools: Eclipse, Gitlab, Jenkins, Ant, Maven, Nexus * Agile methodologies * Spoken and written English The role is a Developer position, and you would join our team with the possibility to work remotely, although initially we want to start in a hybrid remote/office format, hence the term 'hybrid' in the offer. Our experience shows that junior members learn faster when supported on-site. As a multidisciplinary team, your main tasks will involve coding, but also analysis, test automation, deployments, troubleshooting, creation of intermediate components or technical artifacts... What truly matters to us is the ability to understand problems from both business and technical perspectives, design solutions, and successfully implement them into production. Our consulting area focuses on the following project lines: * Design and implementation of platforms (ZDP, CDP) based on ASF ecosystem tools * Massive data ingestion processes using NiFi, capturing data from PLCs in OT * Real-time data processing systems using Flink, and building digital twins * Creation of models using ML techniques with Spark and DL techniques with Pytorch and/or Tensorflow * CI/CD lifecycle management using Terraform and Ansible as Infrastructure as Code * Implementation of methodologies for managing AI projects using MLOps techniques * Technical Data Offices We care about doing things right, both technologically and in terms of working methods. That's why our entire development methodology is based on DevOps, aiming to maximize automation and avoid time losses. We work in an agile environment and communicate via \#Slack. We also value having a well-prepared team, so we have developed training workshops related to each product in the ecosystem (from setting up a production cluster to creating jobs for data streaming), enabling you to contribute as quickly as possible. Our philosophy is sharing and generating knowledge. **Additional benefits:** * Certification and training program * Delivery and attendance of masterclasses * Attendance at conferences and events * Flexible working hours * Possibility to work remotely or in the office * Shortened workday every Friday and before holidays * Summer shortened work schedule (approx. 4 months) * Flexible lunch break * Performance and salary reviews every six months to build personalized career plans * Health insurance after the first year * 23 working days of vacation We support the inclusion of people with disabilities. Therefore, we encourage indicating this condition in your application (Disability Certificate of 33% or higher). Java, Python, Hadoop, cloudera, kubernetes, ansible