Senior Python Architect: Apache Big Data, Remote, Flexible

BairesDev

Colombia

Presencial

COP 372.902.000 - 559.354.000

Jornada completa

hace 20 horas
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Ventajas ofrecidas por este puesto de trabajo

Remote work
Competitive USD salary
Home setup provided
Flexible hours
Parental leave
Global, multicultural team
Mentorship and growth opportunities

Descripción de la vacante

BairesDev is seeking a Senior Python Developer specializing in the Apache ecosystem. The role focuses on contributing to Apache projects, building high-performance data processing systems, and integrating AI/ML solutions within a PySpark-driven stack.

The position is 100% remote, offering competitive compensation in USD or local currency, with flexible hours and a supportive, global team environment. You will work on automating data workflows and collaborating with engineers on scalable

Formación

  • 10+ years of software development experience with Python.
  • Core contributor to Apache open source projects.
  • Strong experience with Apache Spark for large-scale data processing.
  • Automation of distributed data systems.
  • Advanced English proficiency.

Responsabilidades

  • Contribute actively as a core contributor to Apache open source projects with Python components.
  • Develop and optimize Python-based data processing systems for large-scale analytics.
  • Implement automation frameworks for big data ecosystem integration and workflows.
  • Build AI/ML integration solutions with Apache stack technologies.
  • Design scalable data processing architectures using Python for high-throughput applications.
  • Collaborate with engineering teams on system integration and deployment.

Conocimientos

Python
Apache Spark
Open source
Automation
AI/ML
Data processing
English

Descripción del empleo

BairesDev is seeking a Senior Python Developer specializing in the Apache ecosystem. The role focuses on contributing to Apache projects, building high-performance data processing systems, and integrating AI/ML solutions within a PySpark-driven stack.

The position is 100% remote, offering competitive compensation in USD or local currency, with flexible hours and a supportive, global team environment. You will work on automating data workflows and collaborating with engineers on scalable

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