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.
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