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Remote Backend Data Engineer - Python & Django

Infoser Technological Solutions, Hardware, Big Data Experts
Madrid, Spain
1 day 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
Languages
English
Job source
www.buscojobs.com.es

Tech stack

Application Programming Interfaces (APIs) Databases Django Web Framework Python (Programming Language) NumPy Data Processing Backend Pandas Pytest

Job description

En Infoser NT buscamos incorporar un/a Backend / Data Engineer Mid/Senior para participar en un proyecto tecnológico internacional centrado en el desarrollo y evolución de una plataforma de gestión y procesamiento de datos.Necesitamos experiencia sólida en backend con Python y Django, trabajando con APIs, bases de datos y flujos de procesamiento de información.Se valorará experiencia con pandas, NumPy y pytest, así como inglés fluido.#J-*****-Ljbffr

Requirements

Necesitamos experiencia sólida en backend con Python y Django, trabajando con APIs, bases de datos y flujos de procesamiento de información.Se valorará experiencia con pandas, NumPy y pytest, así como inglés fluido.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

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

1:55 min

Hiring backend developers with strong cultural fit

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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

1:25 min

Replacing NumPy with cuPy for straightforward GPU acceleration

Paul Graham Paul Graham · World Congress 2025

6:58 min

Analyzing production code coverage data using pandas

Markus Harrer Markus Harrer · World Congress 2021

Videos

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pytest: Simple, rapid and fun testing with Python thumbnail
47:19
World Congress 2021 • about 5 years ago

pytest: Simple, rapid and fun testing with Python

Florian Bruhin

Advanced Typing in TypeScript thumbnail
28:44
World Congress 2022 • about 4 years ago

Advanced Typing in TypeScript

Lars Hupel

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast. thumbnail
57:49
LIVE • over 3 years ago

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

Jodie Burchell

How to make REST APIs in Django? thumbnail
56:06
LIVE • over 3 years ago

How to make REST APIs in Django?

Kuldeep Pisda

Python-Based Data Streaming Pipelines Within Minutes thumbnail
39:04
LIVE • almost 2 years ago

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

Automagic Configuration in Python thumbnail
50:22
LIVE • over 4 years ago

Automagic Configuration in Python

Oliver Bestwalter

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