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Builds and optimizes data pipelines, star schema models, and data environments using Microsoft Fabric/Azure to support advanced Power BI reporting, collaborating with BI and business teams on CI/CD and Git-based workflows.
Builds and optimizes data pipelines for Silver/Gold layers, ensuring reliable business analytics by designing data models and maintaining data integrity.
¿Listo/a para dar el siguiente paso como Data Scientist / MLOps Engineer en un entorno tecnológico? Inscríbase rápido, consulte la descripción completa desplazándose hacia abajo para conocer todos los requisitos de…
Grupo Seresco busca un/a Big Data & AI Engineer para unirse al equipo Data & AI. Por favor, asegúrese de leer atentamente los siguientes detalles antes de enviar cualquier solicitud. La persona reportará al…
Develops embedded and cloud code for an open-source remote monitoring platform in renewable energy, analyzes data flows, and supports integrations.
Designs and implements data architectures on Snowflake and cloud platforms, building ETL/ELT pipelines and collaborating with data teams to deliver digital transformation solutions.
The Data Ops Engineer will work on AI enablement, focusing on data pipelines, modeling, and integrating LLM APIs for Generative AI solutions. The role is 100% remote.
Desde Agap2 estamos buscando incorporar un perfil de Data Support & DataOps Engineer con experiencia en soporte de plataformas de datos, resolución de incidencias y mantenimiento de procesos de Data Engineering en…
Builds AI-ready data pipelines and products for advanced analytics in pharmaceuticals, collaborating with cross-functional teams to design scalable data architectures and enforce data governance.
Designs and maintains scalable data pipelines using PySpark, Spark, and AWS services to ingest, transform, and load data, orchestrating workflows with Airflow for cross-functional teams.
Designs and maintains scalable data pipelines on Google Cloud Platform, focusing on ETL processes, serverless apps, and BI dashboards using Airflow, BigQuery, and Python.
Designs, builds, and maintains data pipelines/ETL solutions using Airflow, Snowflake, and Python to integrate/transform company data for long-term digital growth.
Desarrolla dashboards corporativos con Power BI, gestionando el ciclo de vida del dato en Snowflake y AWS para impulsar decisiones de negocio.
Builds scalable data pipelines and AI models to integrate business needs with AI innovation in a creative, tech-driven environment at a global creative agency.
Leads the development of an automated metadata-driven Raw Data Vault engine to design scalable, reusable data structures with a focus on traceability and performance.
Builds and maintains data pipelines for ingestion and transformation using AWS, Spark, and Redshift to process large datasets, ensuring efficient data workflows and analytics readiness.
A chemist/chemical engineer who bridges lab work and data, running electrochemical tests for SOEC hydrogen tech and contributing to data automation/analytics in a deep-tech environment.
Design, build, and maintain robust data pipelines and AI-driven automation to support Calconut’s digital transformation in a cloud environment.
Leads design and implementation of an automated metadata-driven Data Vault engine for raw data storage, enabling reusable infrastructure for future project phases.
Designs, builds, and maintains scalable data pipelines on Snowflake and Azure using dbt, Airflow, Python, Docker, and Kubernetes to ensure robust data solutions and collaboration with stakeholders.
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