About Us: 60; 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 60;Data Engineer 60;with a strong focus on the 60;Microsoft Fabric ecosystem 60;and Application Database 60;management, who can design and implement scalable data solutions for our clients. 60; Key Responsibilities: 60; Design, develop, and 60;maintain 60;Power BI reports, dashboards, DAX expressions, KPIs, and scorecards using both Import and 60;Direct Query 60;modes. 60; Build and orchestrate scalable ETL/ELT workflows using Fabric Data Pipelines, Dataflows Gen2, and Azure Data Factory. 60; Write and tune complex T-SQL and KQL queries, stored procedures, and views for performance in Synapse SQL and SQL Server environments. 60; Implement data models based on star/snowflake schemas and support modern data warehousing and Lakehouse architectures using Microsoft Fabric. 60; Manage and 60;optimize 60;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. 60; 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. 60; integrate 60;structured and unstructured data sources (e.g., SQL, Excel, APIs, Blob Storage), and 60;transform them efficiently using Fabric Notebooks (Spark/PySpark) or Dataflows. 60; Diagnose and resolve pipeline failures, logic errors, and performance bottlenecks across the data engineering lifecycle.



60; Automate repetitive data processes using Azure Functions, Logic Apps, Power Shell, or Python scripting within the Fabric ecosystem. 60; Collaborate with stakeholders to gather business requirements and translate them into scalable data solutions. 60; Ensure data governance, privacy, and compliance standards (e.g., GDPR, HIPAA, ISO) are adhered to, including sensitive data handling policies. 60; Apply best practices for item-level security, workspace-based access models, and data lineage using Microsoft 60;One Lake 60;and Fabric tools. 60; Leverage AI-assisted tools such as Git Hub Copilot and Microsoft Copilot to accelerate SQL development, data pipeline implementation, code reviews, troubleshooting, and performance optimization. 60; Support AI and Machine Learning initiatives by preparing, transforming, and managing high-quality datasets for model training and inference. 60; 60; Integrate AI-powered services such as Azure AI Services, Azure OpenAI, and Microsoft Fabric AI capabilities into data solutions. 60; 60; Develop and 60;maintain 60;data pipelines that support Generative AI, predictive analytics, and machine learning workloads. 60; Required 60;Qualifications: 60; Bachelor's or master's 60;degree in computer science, Information Systems, or related field. 60; Minimum 3 years of experience in Power BI development and data engineering. 60; Strong 60;expertise 60;in T-SQL and KQL, with 60;demonstrated 60;query optimization skills.



60; 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. 60; Proficiency 60;in Microsoft Fabric tools: Data Pipelines, Dataflows Gen2, 60;One Lake, Notebooks. 60; Hands-on experience with Spark/PySpark 60;and data integration from 60;varied 60;sources. 60; Microsoft Power BI certification (PL-300) or equivalent Microsoft certifications. 60; Preferred Skills: 60; Experience debugging and 60;optimizing 60;advanced SQL queries, database objects, and legacy components. 60; Ability to implement database security models and data protection policies 60; 60;. 60; Experience using Azure SQL monitoring and tuning capabilities such as Query Store, Query Performance Insight, Database Advisor recommendations, and Azure portal metrics to 60;identify 60;and resolve performance bottlenecks. 60; Expertise 60;in implementing row-level security, dynamic data masking, and role-based access control within Microsoft Fabric and Power BI environments. 60; Familiarity with Microsoft 60;One Lake 60;architecture, including data cataloging, lineage tracking, item-level security, and workspace-based access management. 60; Proven ability to 60;operate 60;effectively in dynamic, client-facing environments, delivering scalable and compliant data solutions with a focus on performance and quality. 60; Why Join Artic Consulting? 60; Work with 60;cutting-edge 60;Microsoft technologies in a dynamic and cooperative environment. 60; Flexible work culture with opportunities for growth and certifications. 60; Be part of a mission to deliver impactful digital transformation for clients globally. 60; Powered by JazzHR

📌 Sr Azure Data Engineer - Ahmedabad, India
🏢 Artic Consulting
📍 India