Cloudera Data Architect

SIX Group Services Ltd.; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading financial technology firm is seeking a Cloudera Data Architect in Madrid to design and optimize large-scale data platforms. The ideal candidate will have extensive experience with Cloudera technologies, Spark, and Kafka. This role offers flexible working models and emphasizes personal development within a collaborative team environment.

Servicios

Flexible work models

Personal development opportunities

Agile working methods

Formación

• Experience with Spark streaming applications and Kudu data design.
• Good English and Spanish communication skills.
• Ability to work in a team and attention to detail.

Responsabilidades

• Design optimized data platforms for financial services.
• Manage Spark applications with Kafka integration.
• Collaborate with developers and DevOps engineers.

Conocimientos

Cloudera ecosystem experience

Spark streaming applications

Data table design (Kudu, HDFS)

Agile framework

Teamwork

Herramientas

Cloudera Manager

Kafka

GitLab

OpenShift

Linux

Descripción del empleo

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BME - Bolsas y Mercados Españoles - drives the transformation of financial markets and belongs to SIX, the third largest exchange group in Europe.

What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.

Cloudera Data Architect

Madrid | Working from home up to 40% | Reference 7378

We are shaping the future of financial markets through technology, innovation, and reliability. Our mission is to build and maintain a cloud-ready, data-driven software infrastructure that supports next-generation financial services.

As part of this vision, we are looking for a Cloudera Data Architect who will help us design and optimize large-scale data platforms, ensuring performance, scalability, and seamless integration across our systems. You will collaborate closely with our platform architects, software developers, and DevOps engineers to deliver robust and efficient data solutions using the latest technologies in the Cloudera ecosystem.

What You Will Do

• Act as a Cloudera Data Architect with high skill in performance tuning procedures, both software- and platform-based.
• Design, plan, and manage Spark applications based on Cloudera cluster technologies and workflows integrated with Kafka Streams, ensuring correct implementation and code quality.
• Design and manage Kudu and HDFS data tables.
• Support the analysis of functional requirements to turn them into detailed technical specifications.
• Technologies you will work with: Kudu, HDFS, Hive, Impala, Spark, Java, OpenJDK, Spring Boot, OpenShift, Kafka, GitLab, GitLab CI, ArgoCD, Linux servers, SQL Server, and much more.

What You Bring

• Experience in the Cloudera ecosystem: Cloudera Manager, Ranger, Knox, Atlas, Hive…
• Experience with Spark streaming applications using Kafka Streams, Kudu and HDFS data design, and Impala queries.
• Experience with XML, JSON, Avro, and Git.
• Nice to have experience: Iceberg use cases, GitLab CI, OpenShift, ArgoCD, Agile framework, Linux.
• High team-working ability and accurate working methods.
• Good verbal and written English and Spanish.

If you have any questions, check out our FAQ page or call Yuliya Stoyko at [phone] .

For this vacancy we only acceptdirect applications.

Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.

What We Offer

Flexible Work Models
We trust our employees and offer a work environment that is well-balanced, productive and fosters success.

Personal Development
You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering.

Agile Working Methods
Whether through scrum or design thinking,
we solve exciting tasks together in teams.