Data Engineer
Empresa:

Softwareone Deutschland Gmbh


Detalles de la oferta

.Why SoftwareOne?SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build, buy and manage everything in the cloud. By helping clients to migrate and modernize their workloads and applications – and in parallel, to navigate and optimize the resulting software and cloud changes – SoftwareOne unlocks the value of technology. The company's 8,900 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 90 countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON. Visit us at https://www.Softwareone.Com/enThe roleDo you want to develop your career in a key area in the coming years?If so, read on. We are looking for a person to join our Data and AI team. We are looking to expand our knowledge of the Azure platform, so we need a person who enjoys developing data projects on Azure.What will be your role?You are going to participate as a Data Engineer in Data and Machine Learning projects. Some of your functions will be:Design and Develop Data Solutions: Collaborate with internal teams and stakeholders to understand business requirements and design effective and scalable data solutions in the Azure cloud.Implement Data Pipelines: Develop robust data pipelines using Azure Data Factory, Azure Databricks and Azure Fabric, as well as other Azure tools for ingesting, transforming and loading data from various sources into target systems.Create Data Models: Design and build optimized data models to support advanced analytics and BI applications, ensuring data integrity and quality.Optimize Performance: Identify and address performance bottlenecks in pipelines and databases, implementing optimization and tuning techniques to improve efficiency and scalability.Automate Processes: Develop scripts and automation tools for the implementation of data quality and performance optimization techniques.Collaborate with Cross-functional Teams: Work closely with development teams, data analysts, data scientists and other stakeholders to understand their data needs and deliver effective, business-driven solutions.Provide Technical Support: Provide technical support and guidance to other team members in the design, development and maintenance of Azure cloud data solutions.Stay updated: Keep abreast of the latest trends and technologies in the field of data engineering and Azure cloud, participating in training and certification activities as needed.Contribute to Data Culture: Promote a data culture within the company, encouraging best practices in the management and use of data for informed decision making.What we need to see from youIf you have 2 to 4 years of experience working in the data engineering area, we are looking for you. We are looking for a technical profile in Big Data and AI, with good ability to understand the functional needs of the business


Fuente: Jobtome_Ppc

Requisitos

Data Engineer
Empresa:

Softwareone Deutschland Gmbh


Frigorista

Empresa especializada en la refrigeración y climatización industrial busca empleados/as para incorporar en la zona de Zaragoza. Se trabajará tanto en taller ...


Desde Domestiko.Com - Zaragoza

Publicado 20 days ago

Técnico/A Instalación De Alarmas, Presencial

Técnico/a Instalación de alarmas en presencial. ¡Te invitamos a formar parte de nuestro equipo! Actualmente estamos buscando un/a Técnico/a de Instalación de...


Desde Grupo Sermicro - Zaragoza

Publicado 20 days ago

Senior Cyber Underwriter R-152

.Who we areAmerican International Group, Inc. (AIG) is a leading global insurance organization. Building on 100 years of experience, today AIG member compani...


Desde Aig - Zaragoza

Publicado 21 days ago

Gestor De Incidencias

Porque trabajar en Sopra Steria, también es sentir Sopra Steria.Somos un reconocido líder europeo en consultoría, servicios digitales y desarrollo de softwar...


Desde Sopra Steria - Zaragoza

Publicado 21 days ago

Built at: 2024-09-29T23:20:48.781Z