Whiz

Python Data Developer in Whiz

Closed job - No longer receiving applicants

Whiz es una empresa dedicada al asesoramiento y ejecución de proyectos de transformación digital. Brindamos los siguientes servicios:

  • Diseño y programación de páginas webs y tiendas online
  • Diseño y programación de aplicaciones móviles multiplataformas híbridas y nativas
  • Diseño y programación de plataformas de gestión interna
  • Diseño e implementación de procesos para la puesta en marcha de proyectos (estimación de costos, demanda, inversión, retornos y viabilidad del mismo)
  • Mailing masivo para promoción de productos y/o servicios, con análisis de impacto y tasa de apertura
  • Campañas de performance y conversión para plataformas digitales
  • Creación e implementación de campañas y estrategias digitales
  • Implementación de SEO y SEM

Responsabilities

In this role, you will be responsible for creating, maintaining and testing python-based data pipelines. You will provide insights and input as the architecture scales, focusing on high-volume data issues like memory utilization, batching, and the use of queueing and messaging systems.

Responsibilities:

  • Coordinating with development and data teams to determine data ingest requirements.
  • Writing scalable code using Python programming language.
  • Testing and debugging ETL (StreamSets), data scripts, and related applications.
  • Assessing and prioritizing client feature requests.
  • Integrating data storage solutions.
  • Coordinating with application developers.
  • Reprogramming existing databases, data storage and data ingest to improve functionality.
  • Develop Python ingestion scripts

Requirements

  • Advanced English level
  • 3+ years of experience as a Python developer focused on data engineering
  • Expert knowledge of Python
  • Expert in data-related frameworks and libraries
  • Experience with Kafka or similar messaging and queuing systems
  • Experience with Jython
  • Experience with data ingest and management tools like Azure Data Factore, AWS Glue, EventHub and Data Connectors

Conditions

Fully remote You can work from anywhere in the world.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

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