WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Streaming Data Engineer - Kafka & Flink (Hybrid, Flexible)

NTT DATA
Madrid, Spain
13 days ago
Apply on www.buscojobs.com.es
Prepare application

Role details

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

Tech stack

Java (Programming Language) Databases Python (Programming Language) NoSQL Data Streaming Apache Flink Real Time Data Apache Kafka

Job description

Una empresa tecnológica en Madrid busca Data Engineers con experiencia en procesamiento en streaming.El rol incluye diseñar y desarrollar pipelines de datos en tiempo real usando Apache Kafka y Flink, y optimizar su rendimiento.Se ofrece un contrato indefinido, beneficios corporativos, y un ambiente de trabajo híbrido con horarios flexibles.Se valoran conocimientos en Java, Python y bases de datos NoSQL.Además, se ofrece acceso a certificaciones y formación continua.#J-*****-Ljbffr

Requirements

Se valoran conocimientos en Java, Python y bases de datos NoSQL.

Benefits & conditions

Se ofrece un contrato indefinido, beneficios corporativos, y un ambiente de trabajo híbrido con horarios flexibles., Además, se ofrece acceso a certificaciones y formación continua.

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

3:55 min

Infrastructure challenges when combining Kafka with Apache Flink

Bobur Umurzokov · LIVE

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

1:09 min

Evaluating mature stream processing frameworks for production systems

Soroosh Khodami Soroosh Khodami · World Congress 2024

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · World Congress 2024

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

Videos

See all
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

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

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

Leveraging Real time data in FSIs thumbnail
41:51
LIVE • almost 3 years ago

Leveraging Real time data in FSIs

Tim Faulkes

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
World Congress 2022 • over 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

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

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS) thumbnail
43:28
LIVE • about 5 years ago

Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)

Gregor Bauer

Related articles

See all