Backend Development Engineer (Python, Pandas, R, PySpark)

• Between 1 and 2 years developing in data-oriented programming environments.
• Proficiency in Python and data analysis libraries, especially Pandas.
• Development of business logic with Python and/or R (Dataframes, SQL, calculation).
• Experience working with lists, matrices, sets, and advanced data structures.
• Development of quality scripts and optimized code.
• Experience in performance optimization and data processing.
• Version control with Git.
• Development of unit tests.

• Experience in development with Spark and PySpark (DataFrames, SQL, distributed calculation) will be valued.

If you join Quenta...

• Degree in Computer Engineering completed or currently in the final year.

Do you want to boost your career in AI, Big Data, and Data Science by working on cutting-edge technological projects?

We are looking for talent with a passion for development and advanced analytics to join high technological value projects, where you will participate in the construction of innovative solutions based on Artificial Intelligence and Big Data ecosystems.

You will be part of a technical team specialized in the development of advanced solutions, participating in the coding and optimization of program units within complex data environments and modern architectures.

• Develop and optimize code units in Python for AI solutions and massive data processing.
• Build data transformation, analysis, and exploitation processes in Big Data environments.
• Implement solutions with PySpark for the distributed processing of large volumes of information.
• Design robust, efficient, and scalable scripts, ensuring high quality standards.
• Participate in the optimization of calculation processes and the performance of data pipelines.
• Develop unit tests and ensure the reliability of the developed code.
• Develop business logic with Python and/or R (Dataframes, SQL, calculation).
• Manage versions and collaborate in collaborative development environments using Git.
• Participate in the development of innovative solutions applied to Artificial Intelligence and advanced analytics.
• Collaborate on modern architectures oriented towards Data Engineering and Data Science.
• Document technical developments and programming best practices.
• Research new libraries, frameworks, and methodologies to improve the efficiency and scalability of technological solutions.

100% real remote modality, with autonomy, flexibility, and participation in initiatives that are shaping the future of technological development.

• Work-life balance supported by a remote work model, so you can telework from wherever you want!!