Teams at Artic Consulting

Design and implement scalable data solutions using Microsoft Fabric and Azure. Build and orchestrate ETL/ELT pipelines, develop Power BI reports and DAX, optimize T-SQL and KQL queries, model data for Lakehouse/warehouse architectures, integrate varied data sources with Spark/PySpark, automate processes, ensure governance and security, and troubleshoot pipeline issues.

Designs and maintains scalable data engineering solutions using Microsoft Fabric, Azure SQL, Power BI, and Azure data services. Responsibilities include database modeling and optimization, ETL/ELT pipeline development, reporting and semantic modeling, data integration, governance, security, troubleshooting, and operational support. The role also prepares datasets and develops pipelines supporting AI, machine learning, predictive analytics, and generative AI workloads while collaborating with application, analytics, and client stakeholders.

Manage end-to-end technical recruitment: source candidates, screen for technical and cultural fit, coordinate interviews, partner with hiring managers, and support offers and onboarding.