Company Description
For 20 years, Talan has advised major companies and administrations, supported them, and implemented their transformation and innovation projects. The Group places innovation at the heart of its development and operates in areas related to technological changes, such as Big Data, Io T, Blockchain and Artificial Intelligence. Present on 5 continents, 13 countries, Talan plans to achieve a turnover of 600 million euros in 2023 for more than 6,000 consultants and aims to exceed the one billion € turnover mark by 2025.
Talan has been operating for 20 years, advising major companies in Finance, Insurance, Telecommunications, Services, Distribution, Public Sector. Our consultants are agile and pragmatic. We combine together consulting services, technological expertise and a capacity to deliver and deploy projects.
We do everything possible to ensure that our employees can thrive and grow at Talan. As a result, we have received the "Great Place to Work" certification, which recognizes compagnies where it feels good to work.
Present in Geneva and Lausanne, Talan Switzerland now has nearly 150 employees. Initially focuse in the financial sector, Talan has developed in recent years in the watchmaking, insurance, media and services sectors.

Job Description
Implement Data Catalog use-cases :

• Project Management
• Business Analysis (implying meetings with end users)
• Specification writing
• Metadata Model harvesting
• Business Glossaries import
• Lineage implementation
• Worksheets & Dashboards development

Develop, support & maintain the Data Catalog platform:

• Implement new technologies to harvest (eg. APIs, specific dev when no native bridges/connectors available)
• Schedule harvesting operations
• Implement monitoring KPIs
• Maintain the tool versioning using our Openshift platform

Qualifications

• Educated to at least Master’s degree level or an equivalent in computer science.
• Successful experience in implementing a data catalog (Talend Data Catalog, Atlas, Data Galaxy).
• Information systems skills, particularly in data-related fields (modeling, data management, etc.).
• Experience with a “Data” tool implementation is required (Data Catalog, ETL, BI, MDM tools).
• Fluent English & French.