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Builds and maintains ETL/ELT data pipelines from structured sources and files into AWS S3 and Redshift, including datamart modeling, using SQL, Python, and Spark. Hybrid, Scrum-based role with opportunities to grow into BI tools like Power BI and QuickSight.
Data engineer who builds and maintains data ingestion and ETL/ELT pipelines, transforming structured sources and files stored in Amazon S3 into Redshift tables, models and datamarts. Daily work centers on Python, PySpark, SQL and AWS (S3, Redshift, QuickSight), plus incident resolution, code reviews and deployments in a hybrid Scrum team.
Atmira is hiring a data engineer in Spain (hybrid) to design and maintain data ingestion and transformation pipelines, building ETL/ELT processes over structured sources and files. Day-to-day work centers on AWS (S3, Redshift), Spark, and BI tools, with data-quality validations and deployments within an agile team.
atmira is hiring a data engineer in A Coruña (hybrid) to build data ingestion and transformation pipelines on AWS using S3, Redshift, and BI tools. The role values PySpark and SQL experience and offers flexible remote work.
atmira está buscando un referente técnico para su squad de Data Engineering en Madrid. Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su…
atmira busca mentes inquietas para un rol centrado en datos: desarrollar y mantener pipelines de ingesta y transformación, implementar ETL/ELT sobre fuentes y trabajar con S3, Redshift y herramientas de BI. Asegúrese…
atmira busca un profesional para desarrollar y mantener pipelines de ingesta y transformación de datos en un entorno híbrido en Madrid. Es esencial asegurarse de que cumple con los requisitos como solicitante para este…
¡Atención, amante de la tecnología! Si eres una persona curiosa, creativa y con pasión por la innovación, ¡esta oportunidad es para ti! En nuestro equipo, buscamos mentes inquietas como la tuya, dispuestas a formar…
Data Engineer role focusing on AWS, S3, and Redshift for ETL pipelines, requiring PySpark and SQL skills in a hybrid environment.
Lead a data engineering squad in Madrid, designing and optimizing AWS-based data pipelines (ETL/ELT) using S3, Redshift, and Data Lake to ensure high-quality, performant data flows.
Build and maintain data ingestion/ETL pipelines using Python, PySpark and Spark, load into Redshift, and support BI reporting in a growing product team.
Build and maintain AWS-based data pipelines that ingest and transform structured data into Redshift using PySpark, SQL, and ETL/ELT tools.
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