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Senior Python Engineer - Remote, Flexible Hours & Growth

Capitole
Barcelona, Spain
6 days ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Databases Django Web Framework Python (Programming Language) PostgreSQL MongoDB NumPy Kusto Query Language Azure Data Factory Pandas Pytest Celery

Job description

Capitole está buscando un Sr Python Developer para un proyecto internacional con posibilidad de trabajo remoto y horarios flexibles.Se valorará dominio de Python, Django, DRF y Celery, así como experiencia en bases de datos MongoDB y PostgreSQL y en entornos de datos complejos.Además se apreciará conocimiento de Azure Data Explorer/KQL, Pandas/NumPy y pruebas con Pytest.Se ofrece presupuesto anual de formación, seguro de salud privado, plan de compensación flexible y beneficios para el#J-*****-Ljbffr

Requirements

Se valorará dominio de Python, Django, DRF y Celery, así como experiencia en bases de datos MongoDB y PostgreSQL y en entornos de datos complejos. Además se apreciará conocimiento de Azure Data Explorer/KQL, Pandas/NumPy y pruebas con Pytest.

Benefits & conditions

Se ofrece presupuesto anual de formación, seguro de salud privado, plan de compensación flexible y beneficios para el

Apply for this position

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Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

3:05 min

Tagging and organizing execution scenarios with pytest markers

Florian Bruhin · World Congress 2021

4:13 min

Challenging Java legacy with scalable Python solutions

Alvaro Duran Alvaro Duran · World Congress 2024

5:30 min

Extending testing workflows using popular pytest plugins

Florian Bruhin · World Congress 2021

6:58 min

Analyzing production code coverage data using pandas

Markus Harrer Markus Harrer · World Congress 2021

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Python-Based Data Streaming Pipelines Within Minutes

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World Congress 2021 • about 5 years ago

pytest: Simple, rapid and fun testing with Python

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World Congress 2022 • over 4 years ago

Advanced Typing in TypeScript

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Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast. thumbnail
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LIVE • over 3 years ago

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.

Jodie Burchell

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LIVE • over 4 years ago

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World Congress 2021 • about 5 years ago

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