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, energetic 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.

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