Data Engineer & Power BI Report: Key Responsibilities: • Design, build, and maintain scalable data models and architecture for BI and analytics. • Develop and manage ETL/ELT pipelines using Microsoft Fabric tools (Dataflows Gen2, Data Factory, Notebooks). • Build visually compelling and performance-optimized reports and dashboards in Power BI. • Implement best practices for DAX, Power Query (M), and data visualization. • Utilize Lakehouse architecture and OneLake for centralized data storage and processing. • Ensure high levels of data quality, integrity, and security across all platforms. • Collaborate with business teams to gather requirements and translate them into technical solutions. • Monitor and troubleshoot dataset refreshes, report performance, and data pipeline issues. • Maintain documentation, data dictionaries, and metadata using governance tools within Fabric. Required Skills & Qualifications: • 5+ years of experience in data engineering or BI development roles. • Strong proficiency in Power BI (DAX, Power Query, Report Design, RLS). • Hands-on experience with Microsoft Fabric – including Lakehouse, Dataflows Gen2, OneLake. • Proficient in writing and optimizing SQL queries (T-SQL or equivalent). • Experience in data integration using Azure Data Factory or Synapse Pipelines. • Understanding of data warehousing concepts, schema design, and performance tuning. • Familiarity with source control tools (e.g., GitHub, Azure DevOps). • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills.