Senior Data Engineer with Expertise in Traditional BI Architecture
Há 7 dias
Fórum Selecção is looking for a highly skilled Senior Data Engineer to join their Corporate Bank team. As a key member of the team, you will be responsible for designing and implementing high-performance data pipelines (ETL) that feed a Data Warehouse (DWH) using state-of-the-art data engineering techniques.
Main Activities:- Design and implement data pipelines to feed the DWH using traditional BI architecture (ODS -> DWH -> DTM -> Tableau)
- Implement flow automation through Continuous Integration/Continuous Deployment (CI/CD) pipelines and end-to-end release of artifacts across environments
- Design data models and schemas, as well as provide architectural guidance and recommendations according to traditional BI best practices
- Provide end-users with support on handling Dataiku and implementation of best practices
- Coach and guide junior team members, as well as stakeholders
- Bachelor's degree in Information Technology or Computer Science
- At least 5 years of professional experience as a data engineer
- High proficiency in SQL, including demonstrated expertise and professional experience in Microsoft SQL Server's T-SQL
- Proven expertise in implementing a DWH following a traditional BI architecture
- Experience with data analytics ETL tools such as Apache Nifi and Dataiku
- Data visualization tools, both in terms of dashboard development and tool administration, such as Power BI, Tableau, and Qlik
- Knowledge of programming languages and core concepts, such as Java and Python
- Knowledge on how to implement CI/CD pipelines and flow automation
- Previous experience with data migration dedicated projects
- English: Expert; French: Notions
This temporary project offers a unique opportunity to work in a fast-changing environment with a proactive attitude and ability to multi-task. The schedule is between 9:00 am and 6:00 pm (Hybrid), and the location is Lisboa. If you are interested in this role, please send your CV with the reference "Data Engineer".
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