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BI Engineer
3 semanas atrás
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The Global Technology Office is an internal team supporting the entire SGS business by implementing Data & BI solutions that optimize processes and create value for clients, using an agile approach, hybrid teams, and fast delivery.
As a BI Engineer , you will develop and maintain data solutions (back and front end) using Azure Data Platform and Power BI , with a focus on BI, streaming, and big data. You'll own the design, implementation, and testing of solutions , while collaborating across SGS teams. A key member of the NextGen Data Intelligence Team , you'll contribute to delivering data products per the NextGen Data roadmap.
Responsibilities
- Implement data/BI solutions (pipelines, data marts, reports, visualizations) aligned with SGS governance and best practices.
- Apply Agile methodologies and CI/CD processes.
- Develop and maintenance (evolutive, corrective and adaptative) of data and business intelligence projects as data warehouses or data marts;
- Contribute to the continuous improvement of the SGS Data & BI Framework;
- Stay updated on data trends and improve the Data & BI Framework.
Qualifications
- 4+ years in cloud-based BI solutions .
- Experience translating business requirements to BI, data warehouses, or marts.
- Strong data modeling skills, with a focus on dimensional modeling and OLAP.
- Deep knowledge of several of the following Azure-based data services and platforms like Data Factory, Synapse, Azure SQL Database, Power BI, Event Hub, Azure Functions, Databricks, Analysis Services, Fabric, Snowflake; awareness and relevant tools similar to these ones;
- Advanced Power BI and DAX knowledge.
- Experience with CI/CD (Azure DevOps/GitHub).
- Ability to write clear an well-structured technical documentation using DevOps central document repository. Jira or other similar tools will be a plus;
- Ability to work collaboratively and effectively with people at all levels in an organization;
- Ability to communicate complex ideas effectively – both verbally and in writing – in English (must) and Spanish.