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Analista Programador/a - Spark, Python, Pyspark

Baoss
La Coruña, Spain
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Working hours
Regular working hours
Job source
www.tecnoempleo.com

Tech stack

Agile Methodology Python (Programming Language) Software Engineering Apache Spark Pyspark

Job description

Tienes experiencia desarrollando con Python y PySpark y buscas un nuevo reto profesional? Estamos buscando Analista Programador/a para incorporarse a un proyecto de larga duración dentro del sector financiero., Desarrollo de aplicaciones y componentes utilizando Python y PySpark. Programación y mantenimiento de soluciones basadas en Spark. Participación en el análisis técnico y desarrollo de nuevas funcionalidades. Colaboración con el equipo técnico en un entorno de desarrollo ágil.

Requirements

Experiencia en Python. Conocimientos sólidos de Spark y PySpark. Perfil orientado al desarrollo de software (no se requiere un perfil de Data Engineer o Data Scientist). Capacidad para trabajar de forma autónoma y en equipo., Analista Programador Programador

Formación Mínima: E.S.O. (Educación Secundaria Obligatoria)

Nivel Profesional: Empleado

Apply for this position

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

Apply on www.tecnoempleo.com

Good distractions

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

Moments

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2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

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Kyle Daigle · Coffee With Developers

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · WWC 2024

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Exploring the Apache Spark layer architecture

Ayon Roy · LIVE

7:52 min

Q&A on agile implementation and challenging norms

Ivan Milanov Ivan Milanov · Europe 2026 Virtual

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ShapeShift: Reinventing Agile for a B2B SaaS Scale-Up

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Europe 2026 Virtual • about 1 month ago

Flex your Energy: Building a Cloud-Native Platform for Renewable Energy Communities

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WWC 2023 • about 3 years ago

From Punch Cards to AI-assisted Development

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22:41
WWC 2024 • almost 2 years ago

Empowering Retail Through Applied Machine Learning

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Let's Get Aggregated: Custom UDAFs in Spark thumbnail
19:58
WWC 2025 • 12 months ago

Let's Get Aggregated: Custom UDAFs in Spark

Nikolai Nikolaev

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