About this role
Assist in building and maintaining data pipelines using Microsoft Fabric Data Factory. Work with Fabric Lakehouse, OneLake, Dataflows Gen2, and Notebooks. Develop interactive Power BI dashboards, reports, KPIs, and visualizations. Write SQL queries and DAX measures to support business reporting. Perform data cleansing, transformation, validation, and reconciliation. Support data modelling, semantic models, and reporting optimization. Integrate data from SQL databases, Excel, SharePoint, APIs, and other sources. Monitor pipeline execution, troubleshoot issues, and maintain technical documentation. Follow data governance, security, and reporting best practices.
What We’re Looking For:
- A Bachelor’s degree in Computer Science, IT, Engineering, Statistics, Mathematics, or a related field.
- 3 years of experience in Power BI and Microsoft data platforms.
- Hands-on knowledge of Power BI Desktop, Power BI Service, dashboards, and semantic models.
- Working knowledge of SQL, DAX, Power Query, and data modelling.
- Basic knowledge of Python and PySpark.
- Familiarity with Microsoft Fabric components such as Lakehouse, Data Factory, OneLake, and Dataflows Gen2.
- Strong analytical thinking, attention to detail, problem-solving, and communication skills.
Added Advantages:
- Microsoft Certified: Power BI Data Analyst Associate (PL-300).
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600), or willingness to pursue certification.
- Familiarity with Microsoft Azure, Git, or Azure DevOps.