Senior Data Engineer (Azure)

About Us:  

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 with a strong focus on the Microsoft Fabric ecosystem and Application Database management, 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 DirectQuery 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 modern data warehousing and Lakehouse architectures using Microsoft Fabric. 
• Manage and optimize Azure SQL application databases, including schema design, indexing strategies, stored procedures, query optimization, data integrity, security, monitoring, backup/recovery awareness, and operational reliability for client-facing business applications. 
• Partner with application, analytics, and client teams to ensure Azure SQL transactional databases are performant, secure, well-structured, and ready for integration with reporting, data warehousing, Microsoft Fabric, and AI/ML workloads. 
• 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 OneLake and Fabric tools. 
• Leverage AI-assisted tools such as GitHub Copilot and Microsoft Copilot to accelerate SQL development, data pipeline implementation, code reviews, troubleshooting, and performance optimization. 
• Support AI and Machine Learning initiatives by preparing, transforming, and managing high-quality datasets for model training and inference.  
• Integrate AI-powered services such as Azure AI Services, Azure OpenAI, and Microsoft Fabric AI capabilities into data solutions.  
• Develop and maintain data pipelines that support Generative AI, predictive analytics, and machine learning workloads. 

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 query optimization skills. 
• Hands-on experience managing Azure SQL Database environments, including performance tuning, index optimization, stored procedures, query troubleshooting, database security, and operational support for application workloads. 
• Proficiency in Microsoft Fabric tools: Data Pipelines, Dataflows Gen2, OneLake, Notebooks. 
• Hands-on experience with Spark/PySpark and data integration from varied sources. 
• Microsoft Power BI certification (PL-300) or equivalent Microsoft certifications. 

Preferred Skills: 

• Experience debugging and optimizing advanced SQL queries, database objects, and legacy components. 
• Ability to implement database security models and data protection policies  . 
• Experience using Azure SQL monitoring and tuning capabilities such as Query Store, Query Performance Insight, Database Advisor recommendations, and Azure portal metrics to identify and resolve performance bottlenecks. 
• Expertise in implementing row-level security, dynamic data masking, and role-based access control within Microsoft Fabric and Power BI environments. 
• Familiarity with Microsoft OneLake architecture, including data cataloging, lineage tracking, item-level security, and workspace-based access management. 
• Proven 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 environment. 
• Flexible work culture with opportunities for growth and certifications. 
• Be part of a mission to deliver impactful digital transformation for clients globally.