Job description

Day-to-Day Responsibilities: -Design, implement, and manage data solutions using the Microsoft Fabric analytics platform -Manage and optimize data lakes, Lakehouses, and Delta Lake tables within Microsoft Fabric -Develop and manage data pipelines using Azure tools like Data Factory, Synapse, ADLS, and DataBricks -Support data visualization, reporting, and advanced analytics capabilities -Optimize data models, queries, and ETL processes for performance and scalability -Automate infrastructure deployment using IaC tools such as Terraform, Bicep, ARM, and Ansible -Provision, configure, manage, and monitor Azure services such as storage accounts, key vaults, function apps, and databases We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Required Skills & Experience Design, implement, and manage data solutions within Microsoft Fabric. Develop end-to-end data solutions using Microsoft components. Manage data lakes, Lakehouses, and Delta Lake tables. Expertise in SQL, Python, Azure DevOps, and CI/CD. Experience with Azure Data Factory, Synapse, DataBricks, IaC tools, Docker, Kubernetes, and data optimization. Nice to Have Skills & Experience Plusses: -Knowledge of machine learning workflows and integration of data science capabilities within Microsoft Fabric -Familiarity with Copilot integration with Azure data services and OpenAI services -Experience designing, creating, and deploying AI and machine learning solutions using Microsoft Azure AI services -Knowledge of cleaning and preparing data from various Azure data sources for AI model training and deployment -Ability to develop end-to-end AI solutions, such as real-time data processing pipelines, REST APIs, and user-facing applications Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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