Data / Power BI Engineer

We are looking for a strong Microsoft Fabric Data Engineer / Power BI Developer with 6+ years of hands-on experience designing and delivering scalable data engineering, analytics, and enterprise reporting solutions. The ideal candidate will bring strong expertise in Microsoft Fabric, Power BI, SQL, data modeling, ETL/ELT pipelines, Lakehouse/Warehouse architecture, semantic models, and reporting-ready datasets.

Responsibilities:

• Partner with business stakeholders to understand reporting, analytics, and data integration requirements.
• Analyze source systems, business rules, and data dependencies to create clear functional and technical documentation.
• Design and develop scalable data pipelines, data models, Lakehouse/Warehouse structures, semantic models, and reporting-ready datasets using Microsoft Fabric and Azure data services.
• Create and maintain source-to-target mappings, data flow diagrams, transformation logic, and technical design documents.
• Apply data modeling principles to support analytical, operational, and enterprise reporting use cases.
• Perform end-to-end delivery activities, including design, development, testing, migration, production support, user training, and documentation.
• Contribute to best practices for Fabric architecture, CI/CD, deployment pipelines, and development standards.
• Optimize SQL queries, data pipelines, semantic models, and reports for performance, scalability, and reliability.
• Identify trends, patterns, and data quality issues in complex datasets and convert findings into actionable recommendations.

Requirements:

• Bachelor's degree in engineering, technology, computer applications, or a related IT discipline.
• Experience with Azure data services, SAP data, and business stakeholder collaboration will be an added advantage.
• 6+ years of overall experience in data engineering, business intelligence, analytics, or enterprise reporting.
• Strong hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Pipelines, Dataflows, Notebooks, Semantic Models, and Power BI.
• Experience with medallion architecture, Lakehouse patterns, data warehouse design, dimensional modeling, and reporting-ready datasets.
• Hands-on experience building and maintaining ETL/ELT pipelines, data ingestion workflows, transformation logic, and orchestration processes.
• Strong SQL skills, including optimized query writing, complex data analysis, and performance tuning support.
• Ability to translate business requirements into scalable data pipelines, semantic models, and analytical datasets.
• Experience with source-to-target mapping, data validation, testing support, defect resolution, production support, and technical documentation.
• Working knowledge of Azure data services such as Azure Data Factory, Azure Data Lake, Azure Synapse, or Databricks is preferred.
• Strong communication skills to collaborate with business users, technical teams, QA teams, and cross-functional stakeholders.
• Understanding of SAP data, business processes, and enterprise reporting environments is an advantage.

Desired Skills:

• Exposure to HANA modeling, SAP data structures, BusinessObjects, or Tableau is preferred.
• Strong problem-solving skills with the ability to work independently in a fast-paced, cross-functional environment.
• Excellent verbal and written communication skills, with strong stakeholder management and requirement-gathering ability.
• Collaborative mindset with a clear focus on delivering measurable business value.
• Experience working in a captive center or global capability center environment is a plus.