Python Engineer: Data Workflows & GIS

Capgemini Engineering; Buenos Aires; Presencial; ARS 89.493.466 - 134.240.200; Jornada completa

Descripción de la vacante

Capgemini Engineering, a world leader in engineering services, seeks a skilled Python Engineer to join our team. You will develop robust, scalable Python solutions and work with data workflows, automation, and geospatial processing.

You will collaborate across projects, implement data quality checks, interact with databases, and support GIS mapping tasks using GeoPandas and related tools. This role offers exposure to AI, cloud, and data initiatives within a global technology group.

Formación

• Proficient in Python programming and scripting.
• Experience with databases (SQL/NoSQL) and data workflows.
• Ability to automate workflows and build lightweight UIs.
• Knowledge of data quality frameworks and validation techniques.
• Experience with Alteryx or equivalent ETL tools.
• Experience consuming/integrating with external APIs.
• Familiarity with GIS concepts and libraries (GeoPandas, Shapely).

Responsabilidades

• Develop and maintain Python scripts and applications for business processes.
• Automate manual workflows and design simple UI components.
• Implement data quality checks across datasets.
• Interact with databases for storage and retrieval.
• Extract and parse data from third-party APIs.
• Utilize ETL/tools like Alteryx for data transformation.
• Support GIS mapping tasks and spatial data processing.

Conocimientos

Python

SQL/NoSQL

Data automation

UI development

Data quality

Alteryx

APIs

GIS basics

Herramientas

Alteryx

GeoPandas

Shapely

QGIS

Descripción del empleo

Capgemini Engineering, a world leader in engineering services, seeks a skilled Python Engineer to join our team. You will develop robust, scalable Python solutions and work with data workflows, automation, and geospatial processing.

You will collaborate across projects, implement data quality checks, interact with databases, and support GIS mapping tasks using GeoPandas and related tools. This role offers exposure to AI, cloud, and data initiatives within a global technology group.