Data Engineer

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.