Senior Python Data Engineer: Scalable APIs & ML Pipelines

Resilientco; Argentina; Presencial; ARS 1.339.200 - 2.232.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Client-provided equipment

Flexible work hours

Professional development opportunities

Descripción de la vacante

Resilientco is seeking a Senior Python Data Engineer in Argentina to develop enterprise-level data processing solutions. The ideal candidate will have over 8 years of experience in Python, with expertise in big data technologies such as PySpark and experience in building scalable APIs.

This role combines technical execution with collaboration across global teams to drive impactful business outcomes, requiring a strong understanding of data science methodologies and large-scale data environments.

Formación

• 8+ years of professional Python development experience.
• Proven experience developing enterprise-scale applications and data processing solutions.
• Expert-level Python programming skills and strong understanding of object-oriented programming.
• Hands-on experience with PySpark, distributed data processing, and large-scale ETL pipelines.

Responsabilidades

• Design, develop, and maintain scalable Python applications and services.
• Develop and optimize large-scale data processing pipelines using PySpark.
• Implement data science algorithms and predictive models in production environments.
• Design and develop RESTful APIs supporting high-volume data operations.

Conocimientos

Python programming

Big data processing

Data science and machine learning

Django

Flask

PySpark

API development

SQL development

Herramientas

PostgreSQL

MySQL

SQL Server

Oracle

Cassandra

HBase

Pandas

NumPy

PyArrow

Descripción del empleo

Resilientco is seeking a Senior Python Data Engineer in Argentina to develop enterprise-level data processing solutions. The ideal candidate will have over 8 years of experience in Python, with expertise in big data technologies such as PySpark and experience in building scalable APIs.

This role combines technical execution with collaboration across global teams to drive impactful business outcomes, requiring a strong understanding of data science methodologies and large-scale data environments.