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About the role
Overview : Artic Consulting is a dynamic IT and consulting services firm, delivering digital transformation through innovative solutions in data, cloud, and business analytics. We are seeking a skilled Data Engineer 7+years with a strong focus on the Microsoft Fabric ecosystem, who can design and implement scalable data solutions for our clients. Key Responsibilities: - Design, develop, and maintain Power BI reports, dashboards, DAX expressions, KPIs, and scorecards using both Import and Direct Query modes. - Build and orchestrate scalable ETL/ELT workflows using Fabric Data Pipelines, Dataflows Gen2, and Azure Data Factory. - Write and tune complex T-SQL and KQL queries, stored procedures, and views for performance in Synapse SQL and SQL Server environments. - Implement data models based on star/snowflake schemas and support up-to-date data warehousing and Lakehouse architectures using Microsoft Fabric. - integrate structured and unstructured data sources (e.g., SQL, Excel, APIs, Blob Storage), and transform them efficiently using Fabric Notebooks (Spark/PySpark) or Dataflows. - Diagnose and resolve pipeline failures, logic errors, and performance bottlenecks across the data engineering lifecycle. - Automate repetitive data processes using Azure Functions, Logic Apps, PowerShell, or Python scripting within the Fabric ecosystem. - Collaborate with stakeholders to gather business requirements and translate them into scalable data solutions. - Ensure data governance, privacy, and compliance standards (e.g., GDPR, HIPAA, ISO) are adhered to, including sensitive data handling policies. - Apply best practices for item-level security, workspace-based access models, and data lineage using Microsoft One Lake and Fabric tools. Required Qualifications: - Bachelor's or master's degree in computer science, Information Systems, or related field. - Minimum 3 years of experience in Power BI development and data engineering. - Strong expertise in T-SQL and KQL, with demonstrated quer .
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