Objective Design, develop, maintain, test, and deliver ETL / ELT using MS Azure Data Factory via an Agile approach the requested business value.
Coach, train and educate internal staff on MS Azure, MS Azure Data Factory, and other used technology Main Responsibilities & Activities As a MS Azure Developer / Engineer, you are responsible for the data integration of the various data sources.
For this purpose, you will develop, using the MS Azure Data Factory tools, the necessary data flows, ETL / ELT's, triggers, control flows, and so on to deliver the requested business value.
Furthermore, you will suggest improvements in the domains of the Azure Data Lake, Azure Databricks, and so on. You coach, train and educate the internal staff on the used MS Azure technology, components, and software.
recommend beneficial training and certification Ensure best practices are used Criteria A development background and experience in Data Warehousing concepts and design (+ 5 years) Practical experience as a developer / engineer in a MS Azure environment using Data Factory and DevOps.
Certification is considered a plus Profile Data Warehouse / Business Intelligence concepts and design (+5 years) Development tools like SQL, Python / C# is a must and modelling technique like Data Vault is considered a plus Azure Data Lake Analytics, Dataset and integrating Pipelines (end to end) in Azure Data Factory is considered a plus Troubleshooting of issues and problems in MS Azure environment including Data Factory and DevOps MS products like SSIS, SSAS, SSRS, and other data warehousing tools Knowledge of reporting tools in a Microsoft environment is considered a plus Strong knowledge of performance tuning to define Azure code artefacts for optimal performance Worked and experience in an Agile environment is key Ready to work as a team player in an Agile Scrum team on a full time employment basis.
Sufficient knowledge of French, Dutch and English language is a must