Software Engineer - Data Platforms & Analytics
12 Tage altAngaben zum Job
| Firma | Avaloq |
| Kategorie | IT | Pensum | 100% |
| Lohn (geschätzt) | CHF 88'000 – 112'000 / Jahr |
| Home Office | Homeoffice möglich |
| Benefits | Flexible Arbeitszeiten |
| Einsatzort | Bioggio |
Job-Inhalt
Job Description
As a member of the Data Platforms & Analytics team, you will contribute to the development and evolution of our Data Platform solutions supporting reporting, analytics, and data-driven decision making across the organization.
The role is strongly focused on Avaloq data ecosystems, combining PL/SQL, ODI (Oracle Data Integrator), Snowflake and ACP(Avaloq Core Platform) knowledge to deliver high-quality, scalable, and governed data solutions.
Your key tasks
- Contribute to the integration of Avaloq Core Platform (ACP) data (e.g., transactional, reference, and business data) into our Data Platform solutions
- Design, develop, and maintain data integration pipelines using Oracle Data Integrator (ODI), including mappings, packages, and scenario lifecycle management
- Design and support Snowflake data platform workloads, including data loading, transformation logic, and optimization of storage and compute usage
- Deploy, manage, and monitor data platform components running on Kubernetes (K8s) environments
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent
- Proven experience in data engineering / data platform development including ETL/ELT patterns and data integration architectures
- Strong hands-on experience with PL/SQL in enterprise environments
- Experience with large-scale databases (Oracle, PostgreSQL, MySql, Microsoft SQL Server)
- Effective communication skills in English (written and spoken)
It would be a real bonus if you have
- Experience with Avaloq Core Platform (ACP) and Avaloq data structures, ACCP certification (Avaloq Certified Customization Professional – ABR/S) is strongly preferred
- Experience with Oracle Data Integrator (ODI) for designing and maintaining ETL/ELT pipelines
- Experience with Snowflake cloud data platform for analytics and data warehousing
- Experience with Kubernetes (K8s) for deploying and managing containerized applications