Senior Power BI & Microsoft Fabric Developer

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Mail us your resume: rechus@neelitech.com

Job Overview

We are seeking a highly motivated and skilled Senior Power BI & Microsoft Fabric Developer with strong data engineering experience to join our dynamic team. The ideal candidate will have hands-on experience with Power BI and/or Microsoft Fabric, a solid understanding of data architecture, and a passion for creating insightful, intuitive dashboards and data solutions. Experience in AI/ML-driven analytics projects is a strong plus. 

Key Responsibilities

- Design, develop, and deploy scalable Power BI dashboards and reports based on business requirements. 

- Build robust data pipelines and perform data transformations using Power Query, DAX, and SQL. 

- Work with large datasets from diverse sources, ensuring efficient data ingestion, modeling, and visualization. 

- Collaborate with stakeholders to understand business needs and translate them into data-driven solutions. 

- Implement and optimize data architecture to support real-time and historical analytics. 

- Apply UI/UX best practices to deliver clean, user-friendly dashboards and interfaces. 

- Contribute to AI/ML-based analytics and predictive modeling projects (preferred). 

- Troubleshoot data-related issues and provide support and guidance to business users. 

- Work independently and as part of a cross-functional team in a fast-paced, agile environment. 

Required Qualifications

- 4-5 years of experience in Power BI development and data engineering roles. 

- Hands-on experience with Microsoft Power BI, Power Query, DAX, and data modeling. 

- Experience with Microsoft Fabric, Azure Synapse, Purview or other Microsoft data platforms. 

- Strong experience with SQL, data warehousing concepts, and ETL pipelines. 

- Hands-on experience in data pipelines, queries and dashboard optimization techniques. 

- Sound understanding of data architecture principles and best practices. 

- Excellent sense of UI/UX for dashboard design and visualization storytelling. 

- Exposure to AI or Machine Learning solutions is a strong advantage. 

- Bachelor’s degree in computer science, Data Science, Engineering, or a related field. 

- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. 

- Proven track record of working in fast-paced, dynamic environments. 

- Self-starter with the ability to take initiative and drive projects from concept to completion. 

Preferred Skills

- Experience with tools such as Fabric, Azure Data Factory, Databricks, or similar platforms. 

- Proficiency in Python or R, SQL, DAX, Power BI, and data pipeline tools. 

- Familiarity with DevOps or CI/CD for BI deployments. 

- Experience working with Agile/Scrum methodologies.