Senior data engineer (Python) con inglés

Profile Summary:

We are looking for a highly experienced Senior Data Engineer with deep expertise in Python Pandas and NumPy combined with strong Data Engineering and DevOps capabilities. The successful candidate will be responsible for designing building and industrializing data solutions ensuring they are scalable reliable and fully operationalized in production environments through modern software engineering and CI/CD practices.

Qualifications :

Functions:

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.

Application of software engineering best practices including clean code modular design 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.

Implementation of monitoring logging alerting and observability capabilities 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 ability to collaborate 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

Remote Work :

Yes

Employment Type :

Full-time