Cloud Data Engineer

Keyrus US; Comunidad Valenciana; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Una empresa de consultoría global busca un Ingeniero de Datos experimentado para diseñar y mantener pipelines de datos escalables en entornos en la nube. Este papel es fundamental para optimizar procesos de extracción, transformación y carga (ETL) utilizando herramientas nativas de la nube como Azure y GCP. Buscamos un profesional que no solo tenga habilidades técnicas en SQL y Python, sino que también esté preparado para colaborar con equipos multidisciplinarios y garantizar la calidad de los datos. Si tienes pasión por los datos y deseas contribuir a un entorno innovador, esta oportunidad es para ti.

Formación

• 3+ años de experiencia como Ingeniero de Datos con enfoque en soluciones en la nube.
• Fuerte dominio de SQL y experiencia en desarrollo de bases de datos en plataformas en la nube.

Responsabilidades

• Diseñar y gestionar pipelines de datos robustos para procesos ETL en entornos en la nube.
• Colaborar con equipos multifuncionales para entregar soluciones de datos escalables.

Conocimientos

ETL

Data Modeling

SQL

Python

Cloud Platforms (Azure, GCP)

Data Governance

Educación

Licenciatura o Maestría en Ciencias de la Computación

Tecnologías de la Información

Herramientas

Snowflake

Azure

GCP

Descripción del empleo

THE PLACE TO BE

Empowered by our motto, "making data matter," Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation.

With a presence in 27 countries across 4 continents, we're on a mission to help our clients to improve their performance leveraging technological and functional expertise in data and analytics.

We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery.

With more than 3200 employees in all corners of the world, we help our clients on a global level with extensive knowledge, a start-up mindset, and a powerful international network.

JOB DESCRIPTION

We are seeking an experienced Data Engineer to design, develop, and maintain scalable and efficient data pipelines in cloud environments using cloud-native tools. The ideal candidate will be proficient in ETL processes, data modeling, and cloud platforms such as Azure or GCP.

PROFILE

1. Design, implement, and manage robust data pipelines for efficient extraction, transformation, and loading (ETL) processes in a cloud-based environment.
2. Build and optimize data models, tables, and database structures, with a focus on scalability and performance in Snowflake or other cloud-native data warehouses.
3. Develop and manage cloud-based database solutions to meet analytical and reporting needs, ensuring the integration of data from various sources.
4. Utilize cloud-native tools (Azure, GCP) for data extraction, transformation, and orchestration, ensuring high-quality data processing.
5. Optimize data pipelines, SQL queries, and cloud workflows for performance, scalability, and efficiency in cloud environments.
6. Troubleshoot and resolve bottlenecks in performance, ensuring smooth and efficient operation of data systems.
7. Collaborate with data scientists, analysts, and cross-functional teams to understand business requirements and deliver scalable data solutions.
8. Integrate cloud-based data solutions with existing IT systems, ensuring seamless workflows and processes.
9. Implement and monitor data quality checks to maintain data integrity across all pipelines.
10. Adhere to data governance, security best practices, and compliance standards in a cloud-native environment.

REQUIREMENT

1. Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
2. Minimum of 3 years of relevant experience as a Data Engineer, with a strong focus on cloud-based data engineering solutions.
3. Experience in Python for data manipulation, scripting, and building automation within cloud environments.
4. Strong SQL skills with extensive experience in database development, querying, and optimization within cloud platforms.
5. Proficiency in at least one cloud platform (Azure or GCP), with experience in implementing data pipelines and cloud data architectures.
6. Familiarity with cloud-native tools and services for orchestration, monitoring, and scaling data pipelines.
7. A deep understanding of data governance, security, and best practices for working with cloud-based data systems.
8. Expertise in Snowflake features and understanding of Snowflake architecture is a plus.
9. Fluent in Spanish
10. Advanced in English