4 Data Engineer Jobs Frankfurt

Design, develop, and deploy scalable applications using Python 3, FastAPI or Flask, Handle (near) real-time big data environments, Design, implement, and manage ETL processes, Implement caching services to improve application performance, Develop and manage data pipelines using Airflow, Provide guidance and mentorship to junior developers, Collaborate with architects and other developers to design application architectures, Work closely with product managers and designers to understand requirements, Write clean, efficient, and well-documented code, Containerize applications using Docker and manage with Kubernetes, Create and manage infrastructure using Helm Charts and Terraform, Deploy and manage applications on AWS cloud platforms, Create data visualizations using Plotly, Implement CI/CD pipelines using GitHub, Troubleshoot and resolve application issues

Design, develop, and deploy scalable applications using Python 3, FastAPI or Flask, Handle (near) real-time big data environments, Design, implement, and manage ETL processes, Implement caching services like Redis, Develop and manage data pipelines using Airflow, Provide guidance and mentorship to junior developers, Collaborate with architects and other developers, Work closely with product managers and designers, Write clean, efficient, and well-documented code, Containerize applications using Docker, Create and manage infrastructure using Helm Charts and Terraform, Deploy and manage applications on AWS cloud platforms, Create data visualizations using Plotly, Implement CI/CD pipelines using GitHub, Troubleshoot and resolve application issues

Design, develop, and deploy scalable applications using Python 3, FastAPI or Flask, Handle (near) real-time big data environments, Design, implement, and manage ETL processes, Implement caching services like Redis, Develop and manage data pipelines using Airflow, Provide guidance and mentorship to junior developers, Collaborate with architects and other developers, Work closely with product managers and designers, Write clean, efficient, and well-documented code, Containerize applications using Docker, Create and manage infrastructure using Helm Charts and Terraform, Deploy and manage applications on AWS cloud platforms, Create data visualizations using Plotly, Implement CI/CD pipelines using GitHub, Troubleshoot and resolve application issues

Beratung der Kund:innen beim Aufbau oder der Weiterentwicklung als Data Warehouse Engineer, Modellierung und Entwicklung der Data Warehouse Systeme, Sicherstellung der optimalen Umsetzung unter Berücksichtigung der Qualitäts- und Performancevorgaben, Konzeption, Durchführung und Aufwandsschätzung für Projekte zur Projektsteuerung