Client: DataArt's client is the foremost airline in South America, offering the widest selection of destinations, flight frequencies, and aircraft fleet options. The client's network covers domestic routes across five key South American markets, as well as Europe, the USA, and the Caribbean.- Project overview: The Advanced Analytics management team is a transformational team whose objective is to generate measurable value that lasts over time across all areas of the company. To achieve this, custom data products are created based on analytical models, mostly from ML but being able to use a broader spectrum of techniques; either by delivering new analytical capabilities to the areas we work with or by directly interacting with their systems.- The development of the products and the associated change management is carried out using Agile methodologies (development) that incorporate the scientific method and LEAN tools (change management). To ensure the correct execution of our products, we work with an MLOps environment.- Responsibilities: Ensure the security and integrity of APIs- Manage and maintain relational databases- Utilize Docker for containerization and deployment- Work with FireStore for data storage and retrieval- Implement and manage services on Google Cloud Platform (GCP)- Version control and collaboration using GIT- Design and develop user interfaces with HTML and CSS- Implement best development practices- Develop and execute automated tests to ensure software quality- Design and implement RESTful APIs- Adhere to SOLID principles in software design- Utilize SQLA for SQL database interactions and operations- Requirements: Experience with API Security- Knowledge of Relational Database Management- Experience with Docker- Knowledge of FireStore- Experience with Google Cloud Platform (GCP)- Proficiency in GIT- Proficiency in HTML and CSS- Familiarity with Software Development Best Practices- Experience with Automated Testing- Proficiency in REST API Development- Familiarity with SOLID Principles- Experience with SQLAlchemy (SQLA)