Job Informationen

Location: Zurich Workload: Full-time Start: By agreement Your tasks: You analyse source and target systems and derive precise data mapping strategies for direct interfaces and Kafka-based publish/subscribe scenarios. You design, develop and configure Apache NiFi pipelines including custom processor configuration and flow design. You implement Kafka producers and consumers that follow existing topic structures and partitioning strategies. You ensure data integrity and completeness through reconciliation processes, error handling and performant pipeline design. You work closely with cross-functional parties in the Release Train to keep data flows testable and consistent. You create documentation for the implemented pipelines, including data flow diagrams, schema definitions and operating manuals. Your profile: Proven hands-on experience building productive Apache NiFi ETL pipelines Solid understanding and implementation experience with event-driven architecture Experience with point-to-point ETL in batch or near-real-time environments Proven ability to guarantee data integrity between source and target systems Proficiency in schema validation using JSON, XML and Avro Hands-on Kafka integration experience Experience with Azure Integration (Dataverse), Oracle DB/PL-SQL and ODS/DWH Basic Java knowledge Experience with CI/CD for NiFi and Kafka as well as Change Data Capture Fluent in German and English Your benefits: A culture of purpose and value - as a team you deliver solutions that make a real difference Knowledge sharing with colleagues and clients across projects Talent Academy supporting your individual career path, innovation and creativity A company committed to sustainability, social responsibility and strong business ethics

Benötigte Skills

• Apache
• Deutsch
• Englisch
• Oracle
• Azure
• ETL
• JAVA
• XML
• JSON