Data Engineer (Power BI, ADF, MS Fabric)

Job Description

Company Description At Beyond Key, we specialize in driving digital transformation and enterprise modernization. By leveraging our deep technical expertise and AI capabilities, our services – D365, BI, M365, Cloud, AI, and Custom Development – enable businesses to excel in a fast-paced tech world. We bring industrial expertise to sectors such as Insurance, Financial Services, Healthcare, and Manufacturing, focusing on customized growth and efficiency. Our commitment to delivering the right solutions has earned us prestigious awards and recognitions, including Great Place to Work certifications. We are dedicated to fostering a collaborative, innovative, and inclusive culture. Key Responsibilities: Design, develop, and maintain interactive Power BI dashboards & reports with advanced DAX, Power Query, and custom visuals. Build and optimize end-to-end data solutions using Microsoft Fabric (OneLake, Lakehouse, Data Warehouse) . Develop and automate ETL/ELT pipelines using Azure Data Factory (ADF) and Fabric Data Pipelines . Architect and manage modern data warehousing solutions (Star/Snowflake Schema) using Fabric Warehouse, Azure Synapse, or SQL Server. Implement data modeling, performance tuning, and optimization for large-scale datasets. Collaborate with business teams to translate requirements into scalable Fabric-based analytics solutions . Ensure data governance, security, and compliance across BI platforms. Mentor junior team members on Fabric, Power BI, and cloud data best practices . Required Skills & Qualifications: 7+ years of hands-on experience in Power BI, SQL, Data Warehousing, and ETL/ELT . Strong expertise in Microsoft Fabric (Lakehouse, Warehouse, ETL workflows, Delta Lake). Proficient in Azure Data Factory (ADF) for orchestration and data integration. Advanced SQL (query optimization, stored procedures, partitioning). Experience with data warehousing (dimensional modeling, SCD, fact/dimension tables). Knowledge of Power BI Premium/Fabric capacity, deployment pipelines, and DAX patterns . Familiarity with Databricks, PySpark, or Python (for advanced analytics) is a plus. Strong problem-solving and stakeholder management skills. Preferred Qualifications: Microsoft Certifications ( PL-300: Power BI, DP-600: Fabric Analytics Engineer ). Experience with Azure DevOps (CI/CD for Fabric/Power BI deployments) . Domain knowledge in BFSI, Retail, or Manufacturing . Show more Show less