Perfil buscado (Hombre/Mujer)
● Working closely with DSP (Demand-Side Platform), ML, and DMP (Data Management
Platform) teams to integrate and curate data effectively into our Data Lake.
● Collaborating across teams to build and improve data tools, ensuring our data architecture
supports real-time insights and analytics.
● Owning data quality and reliability, ensuring service level agreements (SLAs) are met.
● Contributing to code reviews, architectural discussions, and the continuous improvement of
our Data Platform.
● Mentoring junior team members and contributing to best engineering practices.
• American company|Remote work
A successful Data Platform Engineer should have:
● Bachelor´s degree in Computer Science, Engineering, or a related field.
● 3+ years of experience in data engineering, with a focus on data quality and infrastructure.
● Proficiency in a range of data engineering technologies (e.g., Python, SQL, Data Lake,
Warehouse, Kafka, AWS, Airflow).
● Strong problem-solving skills and the ability to work collaboratively.
● Proficiency in developing and optimizing data pipelines, with a strong understanding of both batch processing and real-time streaming technologies.
● Familiarity with AWS services and DevOps practices, including CI/CD and automation.
● Knowledge of data ingestion, software engineering, and security best practices.
● Familiarity with Apache Iceberg or similar table formats and data management technologies
is a plus.
● Occasional tript to the offices located in Zaragoza.
The hiring company is a significant player in the Technology & Telecoms sector, with a large workforce that spans across several international locations.
Oportunidades de carrera y desarrollo profesional.
Nivel Profesional: Empleado
CVs inscritos en el proceso: 8
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