Data Engineer

Job description

We are looking forward to hire Microsoft Fabric Professionals in the following areas : : Experience: 6+ years 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 . Experience with Azure data services, SAP data, and business stakeholder collaboration will be an added advantage. Required Skills • 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. 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. Education • Bachelor s degree in Engineering, Technology, Computer Applications, or a related IT discipline is preferred. Our Hyperlearning workplace is grounded upon four principles • Flexible work arrangements, Free spirit, and emotional positivity • Agile self-determination, trust, transparency, and open collaboration • All Support needed for the realization of business goals, • Stable employment with a great atmosphere and ethical corporate culture