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Data Engineer - Ai, Big Data & Governance (Hybrid)

Gradiant
A Coruña, Spain
14 days ago

Role details

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

Tech stack

Artificial Intelligence Big Data Open Source Technology Pyspark Apache Kafka

Job description

Gradiant, centro tecnológico líder en Galicia, busca ampliar su área de Sistemas Inteligentes con perfil experto en datos y gobierno del dato.Formarás parte de proyectos data-driven colaborando con empresas europeas para mejorar la toma de decisiones mediante IA y analítica avanzada.Se valorará experiencia en PySpark, Kafka y herramientas open source, con inglés fluido y apertura a aprendizaje continuo.Ofrecemos flexibilidad (teletrabajo/híbrido/oficina) y presupuesto de formación anual.#J-*****-Ljbffr

Requirements

Se valorará experiencia en PySpark, Kafka y herramientas open source, con inglés fluido y apertura a aprendizaje continuo.

Benefits & conditions

Ofrecemos flexibilidad (teletrabajo/híbrido/oficina) y presupuesto de formación anual.

Apply for this position

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

Apply on www.buscojobs.com.es

Good distractions

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

Moments

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3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

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1:59 min

Evolving roles in AI driven software teams

Ignacio Riesgo Ignacio Riesgo +1 · WWC 2024

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

1:39 min

Defining Apache Kafka and its primary real-time use cases

Lucia Cerchie · LIVE

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PySpark - Combining Machine Learning & Big Data

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WWC 2024 • almost 2 years ago

Developer Experience, Platform Engineering and AI powered Apps

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35:27
LIVE • over 5 years ago

How to Benchmark Your Apache Kafka

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Data Science in Retail

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WWC 2024 • almost 2 years ago

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