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Ingeniero De Datos Senior | Data Lakehouse En Aws | Híbrido - €42.000 - €45.000 Al Año

Seidor Gesein
Madrid, Spain
about 1 month ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Compensation
€42,000.0 - €45,000.0
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Amazon Web Services Apache HTTP Server Big Data Information Engineering Extract Transform Load (ETL) Solution Deployment Descriptor Apache Spark AWS Glue Data Lakehouse

Job description

Una consultora tecnológica busca un/a Ingeniero/a de Datos Senior con amplia experiencia en entornos cloud y ecosistemas Big Data.El candidato ideal debe tener más de 5 años de experiencia en la implementación de soluciones ETL y dominio de herramientas como AWS Glue y Apache Spark.Esta posición, con modalidad híbrida en Madrid, ofrece un contrato indefinido y un salario bruto anual de **k.Oportunidad de trabajar en un entorno dinámico gestionando grandes volúmenes de datos.#J-**-Ljbffr

Requirements

El candidato ideal debe tener más de 5 años de experiencia en la implementación de soluciones ETL y dominio de herramientas como AWS Glue y Apache Spark.

Benefits & conditions

Esta posición, con modalidad híbrida en Madrid, ofrece un contrato indefinido y un salario bruto anual de *****k. Oportunidad de trabajar en un entorno dinámico gestionando grandes volúmenes de datos.

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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

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

55 sec

Validating data processing architectures via containerized events

Modood Alvi · World Congress 2025

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

6:24 min

Distributed data lakes and containerized computing clusters

Ulrich Wurstbauer +1 · LIVE

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · World Congress 2024

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

Modern Data Architectures need Software Engineering thumbnail
29:25
World Congress 2024 • about 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

How we built an AI-powered code reviewer in 80 hours thumbnail
28:07
World Congress 2025 • about 1 year ago

How we built an AI-powered code reviewer in 80 hours

Yan Cui

Let's Get Aggregated: Custom UDAFs in Spark thumbnail
19:58
World Congress 2025 • about 1 year 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
World Congress 2024 • about 2 years ago

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

Soroosh Khodami

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