Talend Data Integration Engineer - Remote

Jobgether; Schweiz; Vor Ort; CHF 110.000 - 150.000; Vollzeit

Benefits dieser Stelle

Remote working environment

Zusammenfassung

Jobgether, on behalf of a partner, seeks a Data Engineer based in Switzerland to design, develop, and maintain enterprise data pipelines using Talend. This hands-on role focuses on reliable integration, data quality, governance, and secure data movement across complex environments.

You will work with SQL databases (MS SQL Server, Oracle, PostgreSQL), build ETL/ELT workflows, RESTful APIs with Azure API Management, and leverage AI-assisted tools to speed development, testing, and documentation

Qualifikationen

• Post-secondary degree in Computer Science or a related technical discipline.
• At least 3 years designing, developing, testing, and supporting enterprise data integration solutions.
• At least 3 years hands-on experience with Talend Data Integration, Talend Studio, or Talend Data Fabric.
• At least 3 years administering Talend Management Console and Talend Remote Engine.
• At least 2 years providing production support for enterprise integration environments.

Aufgaben

• Design, develop, test, deploy, and maintain enterprise data integration solutions using Talend Data Integration, Talend Studio, and Talend Data Fabric.
• Build reusable, parameterized Talend jobs, routes, components, and workflows across environments.
• Develop scalable ETL/ELT processes for batch and near-real-time data pipelines.

Kenntnisse

SQL

ETL/ELT

Data integration

AI-assisted tools

Ausbildung

Post-secondary degree in Computer Science or related discipline

Tools

Talend Data Integration

Talend Studio

Talend Data Fabric

Azure API Management

Jobbeschreibung

Jobgether, on behalf of a partner, seeks a Data Engineer based in Switzerland to design, develop, and maintain enterprise data pipelines using Talend. This hands-on role focuses on reliable integration, data quality, governance, and secure data movement across complex environments.

You will work with SQL databases (MS SQL Server, Oracle, PostgreSQL), build ETL/ELT workflows, RESTful APIs with Azure API Management, and leverage AI-assisted tools to speed development, testing, and documentation