Requirements
* Master’s degree in IT or relevant discipline, combined with minimum 13 years of relevant working experience in IT;
* Minimum 3 years of hands-on experience with similar products of the market (MS Synapse) or Certification on Microsoft Synapse, for example Microsoft Azure Date Engineer Associate;
* Excellent knowledge of designing ETL / data pipelines using Microsoft Synapse;
* Excellent knowledge of SQL and online analytical data processing (OLAP) and data mining tools;
* Very good knowledge of Python and Apache Spark;
* Excellent knowledge of data warehouse / data lake and data Lakehouse design;
* Excellent knowledge of relational database systems applied to data warehouse;
* Excellent knowledge of access rights management in Datawarehouse/data lake, in particular, segregation of access at row level based on user roles;
* Good knowledge of cloud-based design particularly Microsoft Azure;
* Ability to cope with fast changing technologies used in Big Data and AI;
* Excellent knowledge of business intelligence reporting tools and specific knowledge of Microsoft Power BI is considered an asset;
* Strong knowledge of non-relational database technologies, in particular, specific knowledge of vector database used to store embeddings in the context of AI-based solutions (e.g. RAG) is considered an asset;
* Knowledge of R would be considered an asset;
* Excellent command of the English language.
Thank you very much!