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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 modesBuild and orchestrate scalable ETL/ELT workflows using Fabric Data Pipelines, Dataflows Gen2, and Azure Data FactoryWrite and tune complex T-SQL and KQL queries, stored procedures, and views for performance in Synapse SQL and SQL Server environmentsImplement data models based on star/snowflake schemas and support modern data warehousing and Lakehouse architectures using Microsoft Fabricintegrate structured and unstructured data sources (e.g., SQL, Excel, APIs, Blob Storage), and transform them efficiently using Fabric Notebooks (Spark/PySpark) or DataflowsDiagnose and resolve pipeline failures, logic errors, and performance bottlenecks across the data engineering lifecycleAutomate repetitive data processes using Azure Functions, Logic Apps, PowerShell, or Python scripting within the Fabric ecosystemCollaborate with stakeholders to gather business requirements and translate them into scalable data solutionsEnsure data governance, privacy, and compliance standards (e.g., GDPR, HIPAA, ISO) are adhered to, including sensitive data handling policiesApply 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 fieldMinimum 3 years of experience in Power BI development and data engineeringStrong expertise in T-SQL and KQL, with demonstrated query optimization skillsProficiency in Microsoft Fabric tools: Data Pipelines, Dataflows Gen2, OneLake, NotebooksHands-on experience with Spark/PySpark and data integration from varied sourcesMicrosoft Power BI certification (PL-300) or equivalent Microsoft certifications Preferred Skills: Experience debugging and optimizing advanced SQL queries, database objects, and legacy componentsAbility to implement database security models and data protection policies Expertise in implementing row-level security, dynamic data masking, and role-based access control within Microsoft Fabric and Power BI environmentsFamiliarity with Microsoft OneLake architecture, including data cataloging, lineage tracking, item-level security, and workspace-based access managementProven ability to operate effectively in dynamic, client-facing environments, delivering scalable and compliant data solutions with a focus on performance and quality Why Join Artic Consulting Work with cutting-edge Microsoft technologies in a dynamic and collaborative environmentFlexible work culture with opportunities for growth and certificationsBe part of a mission to deliver impactful digital transformation for clients globally Powered by JazzHR K4jDCdH2kc 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 modesBuild and orchestrate scalable ETL/ELT workflows using Fabric Data Pipelines, Dataflows Gen2, and Azure Data FactoryWrite and tune complex T-SQL and KQL queries, stored procedures, and views for performance in Synapse SQL and SQL Server environmentsImplement data models based on star/snowflake schemas and support modern data warehousing and Lakehouse architectures using Microsoft Fabricintegrate structured and unstructured data sources (e.g., SQL, Excel, APIs, Blob Storage), and transform them efficiently using Fabric Notebooks (Spark/PySpark) or DataflowsDiagnose and resolve pipeline failures, logic errors, and performance bottlenecks across the data engineering lifecycleAutomate repetitive data processes using Azure Functions, Logic Apps, PowerShell, or Python scripting within the Fabric ecosystemCollaborate with stakeholders to gather business requirements and translate them into scalable data solutionsEnsure data governance, privacy, and compliance standards (e.g., GDPR, HIPAA, ISO) are adhered to, including sensitive data handling policiesApply 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 relat
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