Data Engineer: Python, Pandas & NumPy, ETL Focus

Hcltech

Santiago de Compostela

Presencial

EUR 45.000 - 75.000

Jornada completa

Hace 2 días

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Descripción de la vacante

HCLTech busca un Data Engineer en Santiago de Compostela para reforzar nuestra ingeniería de datos en España. El candidato ideal tendrá experiencia práctica con Python y bibliotecas como Pandas y NumPy, y capacidad para transformar prototipos analíticos en soluciones listas para producción.

Deberá diseñar y mantener pipelines ETL/ELT, optimizar rendimiento y trabajar con plataformas en la nube (Azure u otros entornos), adoptar prácticas DevOps y manejar CI/CD, monitoring y observabilidad.

Formación

Extensive hands-on experience developing enterprise-grade solutions in Python, with advanced expertise in Pandas and NumPy.
Strong background in data engineering, including data ingestion, preprocessing, cleansing, transformation, validation, and enrichment.
Design and implementation of scalable and maintainable ETL/ELT pipelines.
Development of reusable frameworks and components for large-scale data processing.
Optimization of data pipelines for performance, reliability, and operational efficiency.
Experience with clean code, testing, and code reviews.
Experience working with large and complex datasets in production environments.
Ability to transform analytical prototypes into production-ready solutions.
Strong understanding of DevOps principles and software delivery lifecycle.
Design and maintenance of CI/CD pipelines for automated build, test, deployment, and release processes.
Experience creating and managing Python deployment artifacts, packages, and libraries.
Monitoring, logging, alerting, and observability for production services.
Experience supporting and troubleshooting applications in production environments.
Familiarity with cloud platforms (Azure and/or other cloud environments).
Strong stakeholder management and collaboration with multidisciplinary teams.
Results-oriented mindset focused on scalability, robustness, security, and operational excellence.
Proven ability to take solutions end-to-end, from development through industrialization, deployment, and ongoing support.
Agile methodology.