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Mid-Level Big Data Developer

Experis
Madrid, Spain
20 days ago

Role details

Contract type
Apprenticeship
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Compensation
€45,000.0 - €65,000.0
Working hours
Regular working hours
Job source
www.jobleads.com

Tech stack

Big Data SQL Databases Data Processing Apache Spark Qlikview

Job description

Experis Manpower Group busca un/una Mid-Level Big Data Developer para unirse de forma estable a un equipo responsable de la evolución, mantenimiento y optimización de soluciones de procesamiento de datos dentro de una plataforma estratégica del cliente. Ubicación: Remoto desde España, horario laboral de lunes a viernes, proyecto estable y con aprendizaje continuo.

Requirements

Se requieren más de 3 años de experiencia en desarrollo de datos, sólidos conocimientos de SQL y Apache Spark, y experiencia en Qlik

Apply for this position

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

Apply on www.jobleads.com

Good distractions

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

Moments

Explore playlists

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:31 min

Baseline developer skills for software data science

Markus Harrer Markus Harrer · WWC 2021

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · WWC 2024

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

1:06 min

Developer experience and project variety at scale

Alexandra Petri · WWC 2023

Videos

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PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Alibaba Big Data and Machine Learning Technology thumbnail
43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

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

Why and when should we consider Stream Processing frameworks in our solutions thumbnail
30:51
WWC 2024 • almost 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

Soroosh Khodami

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Building the platform for providing ML predictions based on real-time player activity thumbnail
30:57
WWC 2024 • almost 2 years ago

Building the platform for providing ML predictions based on real-time player activity

Artem Volk, Fabian Zillgens

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